2012 19th ieee international conference on image processing...
TRANSCRIPT
IEEE Catalog Number: ISBN:
CFP12CIP-PRT 978-1-4673-2534-9
2012 19th IEEE International Conference on Image Processing (ICIP 2012)
Orlando, Florida, USA 30 September – 3 October 2012
Pages 1-788
1/4
xvii
TABLE OF CONTENTS
MA-L1: 3D, STEREO & DEPTH I
MA-L1.1: MISMATCH REMOVAL VIA COHERENT SPATIAL MAPPING ............................................1Jiayi Ma, Ji Zhao, Yu Zhou, Jinwen Tian, Huazhong University of Science and Technology, China
MA-L1.2: POSTERIOR CONSTRAINTS FOR DOUBLE-COUNTING PROBLEM IN ............................5CLUSTERED POSE ESTIMATIONYi Xiao, Huchuan Lu, Shifeng Li, Dalian University of Technology, China
MA-L1.3: A NOVEL STRUCTURED LIGHT METHOD FOR ONE-SHOT DENSE .................................9RECONSTRUCTIONSergio Fernandez, Joaquim Salvi, University of Girona, Spain
MA-L1.4: MULTISCALE FRAMEWORK FOR ADAPTIVE AND ROBUST ENHANCEMENT .........13OF DEPTH IN MULTI-VIEW IMAGERYHannes Helgason, Haopeng Li, Markus Flierl, KTH-Royal Institute of Technology, Sweden
MA-L1.5: HYBRID STRUCTURED LIGHT FOR SCALABLE DEPTH SENSING..................................17Yueyi Zhang, University of Science and Technology of China, China; Zhiwei Xiong, Feng Wu, Microsoft Research Asia, China
MA-L1.6: PIECEWISE SINGLE VIEW PHOTOMETRIC STEREO WITH MULTI-VIEW .................21CONSTRAINTSReza Sabzevari, Alessio Del Bue, Vittorio Murino, Istituto Italiano di Tecnologia, Italy
MA-L1.7: METRIC DEPTH RECOVERY FROM MONOCULAR IMAGES USING .............................25SHAPE-FROM-SHADING AND SPECULARITIESMarco Visentini-Scarzanella, Imperial College London, United Kingdom; Danail Stoyanov, University College London, United Kingdom; Guang-Zhong Yang, Imperial College London, United Kingdom
MA-L2: FEATURE EXTRACTION & CLASSIFICATION
MA-L2.1: BINARY GABOR PATTERN: AN EFFICIENT AND ROBUST DESCRIPTOR ....................81FOR TEXTURE CLASSIFICATIONLin Zhang, Zhiqiang Zhou, Hongyu Li, Tongji University, China
MA-L2.2: SEMI-SUPERVISED CLASSIFICATION BASED ON LOCALLY NONNEGATIVE ...........N/ALINEAR COEFFICIENTSXiaoqin Zhang, Mingyu Fan, Di Wang, Institute of Intelligent System and Decision, Wenzhou University, China; Nannan Gu, Institute of Automation, Chinese Academy of Sciences, China
MA-L2.3: LINE-EDGE EXTRACTION BASED ON E-SPLINE ACQUISITION MODEL .....................89AND A FAST OPTIMIZATION ALGORITHMAkira Hirabayashi, Yamaguchi University, Japan; Pier-Luigi Dragotti, Imperial College London, United Kingdom
xviii
MA-L2.4: KEY FRAME EXTRACTION FROM CONSUMER VIDEOS USING EPITOME ..................93Chinh Dang, Michigan State University, United States; Mrityunjay Kumar, Eastman Kodak, United States; Hayder Radha, Michigan State University, United States
MA-L2.5: A HYBRID RELEVANCE MEASURE FOR FEATURE SELECTION AND ITS ...................97APPLICATION TO UNDERWATER OBJECTS RECOGNITIONTai Fei, Dieter Kraus, University of Applied Sciences Bremen, Germany; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
MA-L2.6: CONSTRUCTING TRAINING DISTRIBUTION BY MINIMIZING VARIANCE ..............N/AOF RISK CRITERION FOR VISUAL CATEGORY LEARNINGWeining Wu, Yang Liu, Maozu Guo, Harbin Institute of Technology, China
MA-L2.7: AN ITERATIVE COMBINATION SCHEME FOR MULTIMODAL VISUAL .....................105FEATURE DETECTIONGutemberg Guerra-Filho, University of Texas at Arlington, United States
MA-L3: SURVEILLANCE IMAGING
MA-L3.1: OBJECT-CENTERED NARRATIVES FOR VIDEO SURVEILLANCE ..................................29Wei Fu, Jinqiao Wang, Chaoyang Zhao, Hanqing Lu, Songde Ma, Institute of Automation, Chinese Academy of Sciences, China
MA-L3.2: WIDE AREA VIDEO SURVEILLANCE WITH SPATIAL-TEMPORAL ...............................33CONSTRAINTSHenry Shu, Tsuhan Chen, Cornell University, United States; Shiaw-Shian Yu, Industrial Technology Research Institute, Taiwan
MA-L3.3: A DISTANCE METRIC LEARNING BASED SUMMARIZATION SYSTEM FOR ..............37NURSERY SCHOOL SURVEILLANCE VIDEOYu Wang, Jien Kato, Nagoya University, Japan
MA-L3.4: ASSESSMENT OF CUSTOMERS’ LEVEL OF INTEREST.......................................................41Mirela Popa, Leon Rothkrantz, Delft University of Technology, Netherlands; Caifeng Shan, Philips Research, Netherlands; Pascal Wiggers, Delft University of Technology, Netherlands
MA-L3.5: ACTION BASED VIDEO SUMMARIZATION FOR CONVENIENCE STORES ...................45Peter Tu, Dashan Gao, Ting Yu, Yi Yao, General Electric, United States
MA-L3.6: ADAPTIVE TEXTURE-COLOR BASED BACKGROUND SUBTRACTION FOR ...............49VIDEO SURVEILLANCETeck Wee Chua, Yue Wang, Karianto Leman, Institute for Infocomm Research, A*Star, Singapore
MA-L4: OPTICAL FLOW
MA-L4.1: CONTRAST INVARIANT AND AFFINE SUB-PIXEL OPTICAL FLOW ...............................53Neus Sabater, Sébastien Leprince, Jean-Philippe Avouac, California Institute of Technology, United States
MA-L4.2: LOCAL SMOOTHNESS FOR GLOBAL OPTICAL FLOW ......................................................N/ALars Lau Rakêt, University of Copenhagen, Denmark
xix
MA-L4.3: FROM OPTICAL FLOW TO DENSE LONG TERM CORRESPONDENCES ........................61Tomas Crivelli, Pierre-Henri Conze, Philippe Robert, Patrick Pérez, Technicolor, France
MA-L4.4: FAST OBSTACLE DETECTION USING TARGETED OPTICAL FLOW ..............................65Nasim Sepehri Boroujeni, S. Ali Etemad, Anthony Whitehead, Carleton University, Canada
MA-L4.5: FLUID OPTICAL FLOW FOR FORCES AND PRESSURE FIELD ESTIMATION .............69IN CELLULAR BIOLOGYTimothée Lecomte, Roman Thibeaux, Nancy Guillen, Alexandre Dufour, Jean-Christophe Olivo-Marin, Institut Pasteur, France
MA-L4.6: FLOW-DRIVEN REGULARIZATION WITH REGULARIZER VERIFICATION ...............N/AIN OPTICAL FLOW COMPUTATIONTarik Arici, Sait Celebi, Istanbul Sehir University, Turkey
MA-L4.7: SEMI-LOCAL VARIATIONAL OPTICAL FLOW ESTIMATION ..........................................77Denis Fortun, Charles Kervrann, INRIA Rennes - Bretagne Atlantique, France
MA-L5: LINEAR & NONLINEAR FILTERING
MA-L5.1: HIERARCHICAL RECURSIVE RUNNING MEDIAN .............................................................109Alexander Alekseychuk, Technische Universität Berlin, Germany
MA-L5.2: MORPHOLOGICAL OPERATORS FOR IMAGES VALUED ON THE SPHERE ..............113Joana Frontera-Pons, Supélec, France; Jesus Angulo, Mines ParisTech, France
MA-L5.3: EFFICIENT GAUSSIAN FILTERING USING CASCADED PREFIX SUMS ........................117John Robinson, University of York, United Kingdom
MA-L5.4: OPTIMAL PARAMETER SELECTION FOR BILATERAL FILTERS USING ...................121POISSON UNBIASED RISK ESTIMATEHarini Kishan, Chandra Sekhar Seelamantula, Indian Institute of Science, India
MA-L5.5: FAST IMAGE FILTERING BY DCT-BASED KERNEL DECOMPOSITION AND ............125SEQUENTIAL SUM UPDATEKenjiro Sugimoto, Sei-Ichiro Kamata, Waseda University, Japan
MA-L5.6: NONLOCAL AND MULTIVARIATE MATHEMATICAL MORPHOLOGY .......................129Olivier Lezoray, Abderrahim Elmoataz, University of Caen, France
MA-L5.7: ONE-SCAN ALGORITHM FOR ARBITRARILY ORIENTED 1-D ......................................133MORPHOLOGICAL OPENING AND SLOPE PATTERN SPECTRUMJan Bartovsky, ESIEE Paris, University Paris-Est, France; Petr Dokladal, Mines ParisTech, France; Eva Dokladalova, ESIEE Paris, University Paris-Est, France; Michel Bilodeau, Mines ParisTech, France
MA-P1: HUMANS IN IMAGES
MA-P1.1: SHARED-BED PERSON SEGMENTATION BASED ON MOTION ESTIMATION ............137Xuyuan Jin, Eindhoven University of Technology, Netherlands; Adrienne Heinrich, Caifeng Shan, Gerard de Haan, Philips Research Eindhoven, Netherlands
xx
MA-P1.2: SKELETON-BASED HUMAN SEGMENTATION IN STILL IMAGES .................................141Julio C. S. Jacques Junior, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil; Cláudio R. Jung, Federal University of Rio Grande do Sul, Brazil; Soraia R. Musse, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
MA-P1.3: FINGER-VEIN MATCHING BASED ON ADAPTIVE VECTOR FIELD .............................145ESTIMATIONJinfeng Yang, Meijing Wu, Wanyin Wang, Yihua Shi, Civil Aviation University of China, China
MA-P1.4: REAL-TIME HAND TRACKING BY INVARIANT HOUGH FOREST ................................149DETECTIONVincent Spruyt, Ghent University; Artesis University College Antwerp, Belgium; Alessandro Ledda, Artesis University College Antwerp, Belgium; Wilfried Philips, Ghent University, Belgium
MA-P1.5: AUTOMATIC HEAD POSE ESTIMATION USING RANDOMLY PROJECTED ...............153DENSE SIFT DESCRIPTORSHuy Tho Ho, Rama Chellappa, University of Maryland, College Park, United States
MA-P1.6: PEOPLE-BACKGROUND SEGMENTATION WITH UNEQUAL ERROR COST ..............157Álvaro García-Martín, Universidad Autónoma of Madrid, Spain; Andrea Cavallaro, Queen Mary, University of London, United Kingdom; José M. Martínez, Universidad Autónoma of Madrid, Spain
MA-P1.7: ROBUST HEAD POSE ESTIMATION USING SUPERVISED MANIFOLD ........................161PROJECTIONChao Wang, Xubo Song, Oregon Health & Science University, United States
MA-P1.8: BEARD AND MUSTACHE SEGMENTATION USING SPARSE CLASSIFIERS ON .........165SELF-QUOTIENT IMAGESHoang Ngan Le, Khoa Luu, Keshav Seshadri, Marios Savvides, Carnegie Mellon University, United States
MA-P1.9: COMPUTATIONALLY LIGHT FOREHEAD SEGMENTATION FROM ............................169THERMAL IMAGESTravis Gault, Aly Farag, University of Louisville, United States
MA-P1.10: GESTURE RECOGNITION USING VIDEO AND FLOOR PRESSURE DATA .................173Gang Qian, NeoMotion Research Limited Company, United States; Bo Peng, Scanbuy Inc., United States; Jiqing Zhang, Morningstar Inc., United States
MA-P1.11: ATTENTIVE GESTURE RECOGNITION ................................................................................177Samuel Dodge, Lina Karam, Arizona State University, United States
MA-P2: HIGH EFFICIENCY VIDEO CODING
MA-P2.1: A STUDY ON THE RATE DISTORTION MODELING FOR HIGH .....................................181EFFICIENCY VIDEO CODINGSiwei Ma, Junjun Si, Peking University, China; Shanshe Wang, Harbin Institute of Technology, China
MA-P2.2: SPATIAL TRANSFORM SKIP IN THE EMERGING HIGH EFFICIENCY ........................185VIDEO CODING STANDARDAndrea Gabriellini, Matteo Naccari, Marta Mrak, David Flynn, British Broadcasting Corporation, United Kingdom
xxi
MA-P2.3: HIGH PERFORMANCE HARDWARE ARCHITECTURES FOR THE INVERSE .............189ROTATIONAL TRANSFORM OF THE EMERGING HEVC STANDARDHenrique Vianna, Gustavo Sanchez, Marcelo Porto, Luciano Agostini, Federal University of Pelotas, Brazil
MA-P2.4: EFFICIENT QUANTIZATION PARAMETER CODING BASED ON INTRA/INTER .......193PREDICTION FOR VISUAL QUALITY CONSCIOUS VIDEO CODERSHirofumi Aoki, NEC Corporation, Japan
MA-P2.5: NEW CHROMA INTRA PREDICTION MODES BASED ON LINEAR MODEL ...............197FOR HEVCXingyu Zhang, Oscar C. Au, Jingjing Dai, Chao Pang, Feng Zou, Hong Kong University of Science and Technology, Hong Kong SAR of China
MA-P2.6: A MEMORY AWARE AND MULTIPLIERLESS VLSI ARCHITECTURE FOR ................201THE COMPLETE INTRA PREDICTION OF THE HEVC EMERGING STANDARDDaniel Palomino, Felipe Sampaio, Federal University of Rio Grande do Sul, Brazil; Luciano Agostini, Federal University of Pelotas, Brazil; Sergio Bampi, Altamiro Susin, Federal University of Rio Grande do Sul, Brazil
MA-P2.7: EXTENSION OF HIGH EFFICIENCY VIDEO CODING (HEVC) FOR ...............................205MULTIVIEW VIDEO AND DEPTH DATAHeiko Schwarz, Christian Bartnik, Sebastian Bosse, Heribert Brust, Tobias Hinz, Haricharan Lakshman, Philipp Merkle, Karsten Mueller, Hunn Rhee, Gerhard Tech, Martin Winken, Detlev Marpe, Fraunhofer Heinrich-Hertz-Institute, Germany; Thomas Wiegand, Fraunhofer Heinrich-Hertz-Institute / Technische Universität Berlin, Germany
MA-P2.8: UNIFIED FORWARD+INVERSE TRANSFORM ARCHITECTURE FOR HEVC ..............209Madhukar Budagavi, Vivienne Sze, Texas Instruments Inc., United States
MA-P2.9: IMPROVING THE PARALLELIZATION EFFICIENCY OF HEVC DECODING ..............213Chi Ching Chi, Technische Universität Berlin, Germany; Mauricio Alvarez Mesa, Fraunhofer Heinrich-Hertz-Institute / Technische Universität Berlin, Germany; Ben Juurlink, Technische Universität Berlin, Germany; Valeri George, Thomas Schierl, Fraunhofer Heinrich-Hertz-Institute, Germany
MA-P2.10: MOTION COMPENSATED TREE DEPTH LIMITATION FOR COMPLEXITY .............217CONTROL OF HEVC ENCODINGGuilherme Correa, University of Coimbra, Portugal; Pedro Assuncao, Polytechnic Institute of Leiria, Portugal; Luciano Agostini, Federal University of Pelotas, Brazil; Luis A. Cruz, University of Coimbra, Portugal
MA-P2.11: AN ADAPTIVE FAST INTRA MODE DECISION IN HEVC .................................................221Mengmeng Zhang, Chuan Zhao, North China University of Technology, China; Jizheng Xu, Microsoft Research Asia, China
MA-P2.12: EXTENSIONS OF THE HEVC TECHNOLOGY FOR EFFICIENT ....................................225MULTIVIEW VIDEO CODINGJakub Stankowski, Marek Domanski, Olgierd Stankiewicz, Jacek Konieczny, Jakub Siast, Krzysztof Wegner, Poznan University of Technology, Poland
MA-P2.13: ON TRANSFORM DYNAMIC RANGE IN HIGH EFFICIENCY VIDEO ..........................229CODINGLouis Kerofsky, Kiran Misra, Andrew Segall, Sharp Laboratories of America, Inc., United States
xxii
MA-P3: IMAGE & VIDEO SECURITY
MA-P3.1: SEMI-AUTOMATIC ASSEMBLY OF REAL CROSS-CUT SHREDDED .............................233DOCUMENTSAaron Deever, Andrew Gallagher, Eastman Kodak, United States
MA-P3.2: A CONTEXT ADAPTIVE PREDICTOR OF SENSOR PATTERN NOISE FOR ..................237CAMERA SOURCE IDENTIFICATIONGuangdong Wu, Xiangui Kang, Sun Yat-Sen University, China; K. J. Ray Liu, University of Maryland, United States
MA-P3.3: COUNTERING ANTI-JPEG COMPRESSION FORENSICS ...................................................241Haodong Li, School of Information Science and Technology, Sun Yat-Sen University, China; Weiqi Luo, School of Software, Sun Yat-Sen University, China; Jiwu Huang, School of Information Science and Technology, Sun Yat-Sen University, China
MA-P3.4: UNIVERSAL SPATIAL FEATURE SET FOR VIDEO STEGANALYSIS ..............................245Xikai Xu, Jing Dong, Tieniu Tan, Institute of Automation, Chinese Academy of Sciences, China
MA-P3.5: ROBUST VIDEO FINGERPRINTING VIA STRUCTURAL GRAPHICAL .........................249MODELSMu Li, Vishal Monga, Pennsylvania State University, United States
MA-P3.6: PRIVACY PROTECTED IMAGE DENOISING WITH SECRET SHARES ..........................253Sayed SaghaianNejadEsfahani, Ying Luo, Sen-Ching Cheung, University of Kentucky, United States
MA-P3.7: FORENSIC IDENTIFICATION OF COMPRESSIVELY SENSED SIGNALS ......................257Xiaoyu Chu, Matthew C. Stamm, K. J. Ray Liu, University of Maryland, United States
MA-P3.8: JPEG IMAGE SCRAMBLING WITHOUT EXPANSION IN BITSTREAM SIZE ................261Kazuki Minemura, Zahra Moayed, Koksheik Wong, University of Malaya, Malaysia; Xiaojun Qi, Utah State University, United States; Kiyoshi Tanaka, Shinshu University, Japan
MA-P3.9: CONTENT AUTHENTICATION OF HALFTONE VIDEO VIA FLICKERING AS ...........265SPARSE SIGNALChao-Yung Hsu, Chun-Shien Lu, Academia Sinica, Taiwan; Soo-Chang Pei, National Taiwan University, Taiwan
MA-P3.10: SECOND-DEGREE CORRELATION SURFACE FEATURES FROM OPTIMAL ...........269TRADE-OFF SYNTHETIC DISCRIMINANT FUNCTION FILTERS FOR SUBJECT IDENTIFICATION USING RADIO FREQUENCY CARDIOSYNCHRONOUS WAVEFORMSMadhusudan Bhagavatula, Marios Savvides, Vijayakumar Bhagavatula, Carnegie Mellon University, United States; Robert Friedman, Noninvasive Medical Technologies, United States; Rebecca Blue, University of Texas at Austin, United States; Marc O’Griofa, Noninvasive Medical Technologies, United States
MA-P4: SEGMENTATION TECHNIQUES & VIDEO SEGMENTATION
MA-P4.1: A ROBUST NON-SYMMETRIC MIXTURE MODELS FOR IMAGE ...................................273SEGMENTATIONThanh Minh Nguyen, Q. M. Jonathan Wu, University of Windsor, Canada
xxiii
MA-P4.2: ELASTIC SUBSPACE SEGMENTATION ..................................................................................N/ACan-Yi Lu, Hai Min, Lin Zhu, University of Science and Technology of China, China; De-Shuang Huang, Tongji University, China
MA-P4.3: BILATERAL FILTER BASED MIXTURE MODEL FOR IMAGE ........................................281SEGMENTATIONDibyendu Mukherjee, Q. M. Jonathan Wu, Thanh Minh Nguyen, University of Windsor, Canada
MA-P4.4: LOCAL MATTING BASED ON SAMPLE-PAIR PROPAGATION AND ITERATIVE ......285REFINEMENTBei He, Guijin Wang, Zhiwei Ruan, Xuanwu Yin, Xiaokang Pei, Xinggang Lin, Tsinghua University, China
MA-P4.5: CONVEX RELAXATION FOR IMAGE SEGMENTATION BY KERNEL ..........................289MAPPINGMohamed Ben Salah, University of Alberta, Canada; Ismail Ben Ayed, General Electric Healthcare London, Canada; Jing Yuan, Robarts Research Institute, Canada; Zhijie Wang, Hong Zhang, University of Alberta, Canada
MA-P4.6: MAXIMUM-A-POSTERIORI ESTIMATION FOR GLOBAL SPATIAL ..............................293COHERENCE RECOVERY BASED ON MATTING LAPLACIANChen-Yu Tseng, Sheng-Jyh Wang, National Chiao-Tung University, Taiwan
MA-P4.7: ROBUST AUTOMATIC VIDEO OBJECT SEGMENTATION WITH GRAPHCUT ...........297ASSISTED BY SURF FEATURESSatomi Kudo, Hisashi Koga, Takanori Yokoyama, Toshinori Watanabe, University of Electro-Communications, Japan
MA-P4.8: ONLINE PARAMETER ESTIMATION IN DYNAMIC MARKOV RANDOM ....................301FIELDS FOR IMAGE SEQUENCE ANALYSISVignesh Jagadeesh, Bangalore S. Manjunath, University of California, Santa Barbara, United States; James Anderson, Bryan Jones, Robert Marc, University of Utah, United States; Steven Fisher, University of California, Santa Barbara, United States
MA-P4.9: UNSUPERVISED VIDEO SEGMENTATION BY DYNAMIC VOLUME .............................305GROWING AND MULTIVARIATE VOLUME MERGING USING COLOR-TEXTURE-GRADIENT FEATURESSreenath Rao Vantaram, Eli Saber, Rochester Institute of Technology, United States
MA-P4.10: IMPROVED MOTION SEGMENTATION USING LOCALLY SAMPLED .......................309SUBSPACESNikolaos Dimitriou, Anastasios Delopoulos, Aristotle University of Thessaloniki, Greece
MA-P4.11: VERSATILE BAYESIAN CLASSIFIER FOR MOVING OBJECT DETECTION .............313BY NON-PARAMETRIC BACKGROUND-FOREGROUND MODELINGCarlos Cuevas, Raúl Mohedano, Narciso García, Universidad Politécnica de Madrid, Spain
MA-P4.12: BILATERAL SMOOTHING OF GRADIENT VECTOR FIELD AND .................................317APPLICATION TO IMAGE SEGMENTATIONRavindra S. Hegadi, Solapur University, India; Adithya Kumar Pediredla, Chandra Sekhar Seelamantula, Indian Institute of Science, India
xxiv
MA-P5: CAMERAS & IMAGING - FRONT-END PROCESSING
MA-P5.1: CAN LENS DISTORTION BE CALIBRATED FROM AN IMAGE OF A SMOOTH, .........321TEXTURELESS LAMBERTIAN SURFACE?Moumen El-Melegy, Aly Farag, University of Louisville, United States
MA-P5.2: A NOVEL HIGH DYNAMIC RANGE IMAGE COMPRESSION SCHEME OF ..................325COLOR FILTER ARRAY DATA FOR THE DIGITAL CAMERA PIPELINEDohyoung Lee, Konstantinos N. Plataniotis, University of Toronto, Canada
MA-P5.3: THE DOMINANCE OF POISSON NOISE IN COLOR DIGITAL CAMERAS......................329Henry Joel Trussell, Ruoxi Zhang, North Carolina State University, United States
MA-P5.4: ANALYTICAL STUDY OF RGB VERTICAL STRIPE AND RGBX .....................................333SQUARE-SHAPED SUBPIXEL ARRANGEMENTSLu Fang, Oscar C. Au, Jingjing Dai, Hong Kong University of Science and Technology, Hong Kong SAR of China; Hanli Wang, Tongji University, China; Ngai-Man Cheung, Singapore University of Technology and Design, Singapore
MA-P5.5: AUTOMATIC CALIBRATION OF A PROJECTOR-CAMERA SYSTEM WITH A ...........337SEE-THROUGH SCREENWei Hong, Dan Gelb, Mitchell Trott, Hewlett-Packard Laboratories, United States
MA-P5.6: CAMERA CALIBRATION USING ADAPTIVE SEGMENTATION AND ELLIPSE ..........341FITTING FOR LOCALIZING CONTROL POINTSCharan Prakash, Lina Karam, Arizona State University, United States
MA-P5.7: TWO-LAYER COLOR FILTER ARRAY FOR HIGH QUALITY IMAGES .........................345Dongjae Lee, Byung-Joon Baek, Tae-Chan Kim, Samsung Electronics Co., Ltd., Republic of Korea
MA-P5.8: AN AUTOMATIC GRID CORNER EXTRACTION TECHNIQUE FOR CAMERA ...........349CALIBRATIONLixia Yang, Columbia University, China; Chao Tian, Vinay Vaishampayan, Amy Reibman, AT&T Labs-Research, Shannon Laboratory, United States
MA-P5.9: A NEW METHOD FOR LINEAR AFFINE SELF-CALIBRATION OF .................................353STATIONARY ZOOMING STEREO CAMERASTarik Elamsy, University of Windsor, Canada; Adlane Habed, Université de Bourgogne, France; Boufama Boubakeur, University of Windsor, Canada
MA-P5.10: PLENOPTIC SPHERICAL SAMPLING....................................................................................357Luigi Bagnato, Pascal Frossard, Pierre Vandergheynst, Ecole Polytechnique Fédérale de Lausanne, Switzerland
MA-P5.11: NOISE ATTENUATION PERFORMANCE OF MURA APERTURES IN ..........................361PHOTOGRAPHIC CAMERASRené M A Teixeira, Kiyoharu Aizawa, University of Tokyo, Japan
MA-P5.12: RANDOM IMPULSIVE SCAN FOR LIDAR SAMPLING ......................................................365Juan Castorena, Charles D. Creusere, New Mexico State University, United States
MA-P5.13: MAPPING MEASURABLE QUANTITIES OF POINT-SPREAD FUNCTION ..................369OBSERVATIONS TO SEIDEL ABERRATION COEFFICIENTSJonathan Simpkins, Robert Stevenson, University of Notre Dame, United States
xxv
MA-P5.14: SMOOTH CONTROL OF CONTINUOUS AUTOFOCUS ......................................................373Dong-Chen Tsai, Homer Chen, National Taiwan University, Taiwan
MA-P5.15: GPU-ACCELERATED LOCAL TONE-MAPPING FOR HIGH DYNAMIC RANGE .......377IMAGESQiyuan Tian, Stanford University, United States; Jiang Duan, Southwestern University of Finance and Economics, China; Guoping Qiu, University of Nottingham, United Kingdom
MA-P6: TRACKING I
MA-P6.1: TOWARD A REAL-TIME TRACKING OF DENSE POINT-SAMPLED ..............................381GEOMETRYFrançois Destelle, Céline Roudet, Marc Neveu, Albert Dipanda, Le2i, University of Bourgogne, France
MA-P6.2: MULTIPLE SAMPLE GROUP PAIRS’ GRAPH EMBEDDING FOR TRACKING .............385Lin Ma, Weiming Hu, Chinese Academy of Sciences, China; Xiaoqin Zhang, Wenzhou University, China
MA-P6.3: REALTIME OBJECT-OF-INTEREST TRACKING BY LEARNING COMPOSITE ..........389PATCH-BASED TEMPLATESYuanlu Xu, Hongfei Zhou, Qing Wang, Liang Lin, Sun Yat-Sen University, China
MA-P6.4: FRAGMENT-BASED TRACKING USING ONLINE MULTIPLE KERNEL .......................393LEARNINGXu Jia, Dong Wang, Huchuan Lu, Dalian University of Technology, China
MA-P6.5: ACTIVE DRIFT CORRECTION TEMPLATE TRACKING ALGORITHM .........................397Fan Baojie, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences; Nanjing University of Posts and Telecommunications, China; Du Yingkui, Cong Yang, Tang Yandong, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, China
MA-P6.6: ONLINE BOOSTED TRACKING WITH DISCRIMINATIVE FEATURE ...........................401SELECTION AND SCALE ADAPTATIONHefeng Wu, Guanbin Li, Zhuo Su, Xiaonan Luo, Sun Yat-Sen University, China
MA-P6.7: ROBUST HIERARCHICAL MULTIPLE HYPOTHESIS TRACKER FOR ..........................405MULTIPLE OBJECT TRACKINGMohd Asyraf Zulkifley, Universiti Kebangsaan Malaysia, Malaysia; Bill Moran, David Rawlinson, University of Melbourne, Australia
MA-P6.8: SUPERPIXEL-DRIVEN LEVEL SET TRACKING ...................................................................409Xue Zhou, University of Electronic Science and Technology of China, China; Xi Li, Tat-Jun Chin, David Suter, University of Adelaide, Australia
MA-P6.9: OBJECT TRACKING BASED ON LOCAL LEARNING ..........................................................413Xiaohui Li, Huchuan Lu, Dalian University of Technology, China
MA-P6.10: OBJECT TRACKING VIA ONLINE METRIC LEARNING ..................................................417Yang Cong, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, Singapore; Junsong Yuan, Nanyang Technological University, Singapore; Yandong Tang, Chinese Academy of Sciences, China
xxvi
MA-P6.11: INTEGRATION OF EYE DETECTION AND TRACKING IN .............................................421VIDEOCONFERENCE SEQUENCES USING TEMPORAL CONSISTENCY AND GEOMETRICAL CONSTRAINTSGabriel Araujo, Federal Univerisity of Rio de Janeiro, Brazil; Eduardo Silva, Alexandre Ciancio, José Oliveira, Felipe Ribeiro, Federal University of Rio de Janeiro, Brazil; Amir Said, Hewlett-Packard Laboratories, United States
MA-P6.12: TRACKABILITY ..........................................................................................................................425Scott T. Acton, University of Virginia, United States
MA-P6.13: A BAYESIAN NETWORK FOR ONLINE EVALUATION OF SPARSE FEATURES ......429BASED MULTITARGET TRACKINGTewodros Atanaw Biresaw, Carlo S. Regazzoni, University of Genova, Italy
MA-P6.14: FRAGMENT-BASED REAL-TIME OBJECT TRACKING: A SPARSE .............................433REPRESENTATION APPROACHNaresh Kumar M. S., Priti Parate, Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
MA-P7: IMAGING FOR TRAFFIC APPLICATIONS
MA-P7.1: CURB DETECTION AND TRACKING USING 3D-LIDAR SCANNER .................................437Gangqiang Zhao, Junsong Yuan, Nanyang Technological University, Singapore
MA-P7.2: ESTIMATING VIEWING ANGLES IN MOBILE STREET VIEW SEARCH .......................441Deli Pei, Tsinghua University, China; Rongrong Ji, Columbia University, United States; Fuchun Sun, Huaping Liu, Tsinghua University, China
MA-P7.3: PEDESTRIAN DETECTION VIA PART-BASED TOPOLOGY MODEL ..............................445Wen Gao, Xiaogang Chen, Qixiang Ye, Jianbin Jiao, Chinese Academy Sciences, China
MA-P7.4: STAGGERED MULTI-SCALE LBP FOR PEDESTRIAN DETECTION ...............................449Yunyun Cao, Panasonic Corporation, Japan; Sugiri Pranata, Panasonic Singapore Laboratories Pte Ltd, Singapore; Makoto Yasugi, Panasonic Corporation, Japan; Zhiheng Niu, Panasonic Singapore Laboratories Pte Ltd, Singapore; Hirofumi Nishimura, Panasonic Corporation, Japan
MA-P7.5: REGION-DEPENDENT VEHICLE CLASSIFICATION USING PCA FEATURES .............453Jon Arróspide, Luis Salgado, Universidad Politécnica de Madrid, Spain
MA-P7.6: ROBUST CLASSIFICATION OF TRAFFIC SIGNS USING MULTI-VIEW CUES .............457Lykele Hazelhoff, CycloMedia Technology B.V. / Eindhoven University of Technology, Netherlands; Ivo Creusen, CycloMedia Technology B.V. / Eindhoven University ofTechnology, Netherlands; Peter De With, Eindhoven University of Technology, Netherlands
MA-P7.7: COLOR TRANSFORMATION FOR IMPROVED TRAFFIC SIGN DETECTION ..............461Ivo Creusen, Lykele Hazelhoff, Cyclomedia Technology, Netherlands; Peter De With, Eindhoven University of Technology, Netherlands
MA-P7.8: TOWARDS A ROBUST AND FAST COLOR STEREO MATCHING FOR ..........................465INTELLIGENT VEHICLE APPLICATIONAlina Miron, Samia Ainouz, Alexandrina Rogozan, Abdelaziz Bensrhair, LITIS Laboratory, France
xxvii
MA-P7.9: A SIMPLE PEDESTRIAN DETECTION USING LBP-BASED PATTERNS OF ..................469ORIENTED EDGESAhmed Boudissa, Joo Kooi Tan, Kim Hyoungseop, Seiji Ishikawa, Kyushu Institute of Technology, Japan
MA-P7.10: K-TANGENT SPACES ON RIEMANNIAN MANIFOLDS FOR IMPROVED ...................473PEDESTRIAN DETECTION Andres Sanin, Conrad Sanderson, Mehrtash Harandi, Brian C. Lovell, National ICT Australia (NICTA), Australia
MA-P7.11: CROSS-VIEW OBJECT CLASSIFICATION IN TRAFFIC SCENE ....................................477SURVEILLANCE BASED ON TRANSDUCTIVE TRANSFER LEARNINGYi Mo, Zhaoxiang Zhang, Yunhong Wang, Beihang University, China
MA-P7.12: ADAPTATION OF BOOSTED PEDESTRIAN DETECTORS BY FEATURE ....................481RESELECTIONZhifang Liu, Genquan Duan, Haizhou Ai, Tsinghua University, China; Takayoshi Yamashita, OMRON Corporation, Japan
MA-P7.13: EFFICIENT DISTINCTION OF ROAD SURFACE CONDITIONS USING .......................485SURVEILLANCE CAMERA IMAGES IN NIGHT TIMEYuukou Horita, Shohei Kawai, Tatsuya Furukane, Keiji Shibata, University of Toyama, Japan
MA-P7.14: SEMI-SUPERVISED LEARNING FOR ROBUST CAR WINDSHIELD .............................489TRACKING AND MONITORING IN LIVE TRAFFIC VIDEOSZhongna Zhou, Tony Han, Zhihai He, University of Missouri, United States
MA-P8: SHAPE & IMAGE ANALYSIS
MA-P8.1: EFFICIENT TOPOLOGY-CONTROLLED SAMPLING OF IMPLICIT SHAPES ..............493Jason Chang, John Fisher, Massachusetts Institute of Technology, United States
MA-P8.2: LOCALIZATION OF DROSOPHILA EMBRYOS USING CONNECTED ...........................497COMPONENTS IN SCALE SPACEZachary Bessinger, Guangming Xing, Qi Li, Western Kentucky University, United States
MA-P8.3: LOCAL SHAPE RECOGNITION FOR MOBILE APPLICATIONS .......................................501Levente Kovacs, Hungarian Academy of Sciences, Hungary
MA-P8.4: SELF-CLOSED PARTIAL SHAPE DESCRIPTOR FOR SHAPE RETRIEVAL ...................505Huijie Fan, Yang Cong, Yandong Tang, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences, China
MA-P8.5: SHAPE RECOGNITION FROM SHADOWS OF 3-D CONVEX GEOMETRICAL ............509OBJECTSBenoît Presles, Johan Debayle, Jean-Charles Pinoli, Ecole Nationale Supérieure des Mines de Saint-Etienne, France
MA-P8.6: INFERRING REPEATED PATTERN COMPOSITION IN NEAR REGULAR ....................513TEXTURESYunliang Cai, George Baciu, Hong Kong Polytechnic University, Hong Kong SAR of China
xxviii
MA-P8.7: A SCALE-SPACE TECHNIQUE FOR POLYGONAL APPROXIMATION OF ...................517PLANAR CURVESYing Wang, Baojiang Zhong, Soochow University, China
MA-P8.8: ACCURATE MODELING OF TAGGED CMR 3D IMAGE APPEARANCE ........................521CHARACTERISTICS TO IMPROVE CARDIAC CYCLE STRAIN ESTIMATIONMatthew Nitzken, Garth Beache, Ahmed Elnakib, Fahmi Khalifa, University of Louisville, United States; Georgy Gimel’farb, University of Auckland, New Zealand; Ayman El-Baz, University of Louisville, United States
MA-P8.9: REAL-TIME DIABETIC RETINOPATHY PATIENT SCREENING USING .......................525MULTISCALE AM-FM METHODSVictor Murray, Carla Agurto, University of New Mexico, United States; Simon Barriga, VisionQuest Biomedical, United States; Marios Pattichis, University of New Mexico, United States; Peter Soliz, VisionQuest Biomedical, United States
MA-P8.10: CURVE SKELETON-BASED SHAPE REPRESENTATION AND .......................................529CLASSIFICATIONShuisheng Xie, Jundong Liu, Ohio University, United States; Charles Smith, University of Kentucky, United States
MA-P8.11: APPEARANCE-BASED DIAGNOSTIC SYSTEM FOR EARLY ASSESSMENT OF ........533MALIGNANT LUNG NODULESAyman El-Baz, University of Louisville, United States; Georgy Gimel’farb, University of Auckland, New Zealand; Mohamed Abou El-Ghar, University of Mansoura, Egypt; Robert Falk, Jewish Hospital, United States
MA-P8.12: IMPROVED SPIN IMAGES FOR 3D SURFACE MATCHING USING SIGNED ..............537ANGLESZhiyuan Zhang, Sim Heng Ong, Kelvin Foong, National University of Singapore, Singapore
MA-P8.13: A COUPLED SCHEMA OF PROBABILISTIC ATLAS AND STATISTICAL SHAPE .....541AND APPEARANCE MODEL FOR 3D PROSTATE SEGMENTATION IN MR IMAGESSoumya Ghose, Jhimli Mitra, Université de Bourgogne, France; Arnau Oliver, Robert Martí, Xavier Lladó, Jordi Freixenet, Universitat de Girona, Spain; Joan C. Vilanova, Girona Magnetic Resonance Center, Spain; Désiré Sidibé, Fabrice Meriaudeau, Université de Bourgogne, France
MP-L1: DEPTH CAMERA IMAGE PROCESSING & APPLICATIONS
MP-L1.1: DEPTH CAMERA IMAGE PROCESSING AND APPLICATIONS ........................................545Seungkyu Lee, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea
MP-L1.2: NON-PARAMETRIC DEPTH CALIBRATION OF A TOF CAMERA ...................................549Amira Belhedi, Steve Bourgeois, Vincent Gay-bellile, Patrick Sayd, Commisariat à l’Energie Atomique, France; Adrien Bartoli, Faculté de Médecine,Université d’Auvergne, France; Kamel Hamrouni, Ecole Nationale d’Ingénieurs de Tunis, Tunisia
MP-L1.3: HIGH-QUALITY DEPTH MAP UP-SAMPLING ROBUST TO EDGE NOISE ....................553OF RANGE SENSORSDaeyoung Kim, Kuk-Jin Yoon, Gwangju Institute of Science and Technology, Republic of Korea
xxix
MP-L1.4: WIDE RANGE STEREO TIME-OF-FLIGHT CAMERA ..........................................................557Ouk Choi, Seungkyu Lee, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea
MP-L1.5: ROBUST FACE TRACKING WITH A CONSUMER DEPTH CAMERA ..............................561Fei Yang, Rutgers University, United States; Junzhou Huang, University of Texas at Arlington, United States; Xiang Yu, Xinyi Cui, Dimitris Metaxas, Rutgers University, United States
MP-L1.6: ESTIMATING ALL FREQUENCY LIGHTING USING A COLOR/DEPTH ........................565IMAGEHyunjung Shim, Samsung Electronics Co., Ltd., Republic of Korea
MP-L1.7: AUTOMATIC OBJECT SEGMENTATION WITH 3-D CAMERAS .......................................569Haowei Liu, University of Washington, United States; Matthai Philipose, Intel Labs Seattle, United States; Ming-Ting Sun, University of Washington, United States
MP-L1.8: GPU ACCELERATED VIEW SYNTHESIS FROM MULTIPLE RGB-D ..............................573IMAGESAnjin Park, Jinwook Kim, Korea Institute of Science and Technology, Republic of Korea
MP-L2: SPARSITY
MP-L2.1: COMPRESSIVE DICTIONARY LEARNING FOR IMAGE RECOVERY.............................661Mohammad Aghagolzadeh, Hayder Radha, Michigan State University, United States
MP-L2.2: NOISE LEVEL ESTIMATION USING WEAK TEXTURED PATCHES OF A ....................665SINGLE NOISY IMAGEXinhao Liu, Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan
MP-L2.3: LOW-RANK, SPARSE MATRIX DECOMPOSITION AND GROUP SPARSE ....................669CODING FOR IMAGE CLASSIFICATIONLihe Zhang, Chen Ma, Dalian University of Technology, China
MP-L2.4: ESTIMATION OF SIGNAL-DEPENDENT SENSOR NOISE VIA SPARSE .........................673REPRESENTATION OF NOISE LEVEL FUNCTIONSJingyu Yang, Zhaoyang Wu, Chunping Hou, Tianjin University, China
MP-L2.5: STRUCTURED DICTIONARY LEARNING FOR MULTI-SCALE SPARSE .......................N/AREPRESENTATIONJiawen Wang, Hongbin Zhang, Beijing University of Technology, China
MP-L2.6: LEARNING SPARSIFYING TRANSFORMS FOR IMAGE PROCESSING ..........................681Saiprasad Ravishankar, Yoram Bresler, University of Illinois at Urbana-Champaign, United States
MP-L2.7: LEARNING DOUBLY SPARSE TRANSFORMS FOR IMAGE ..............................................685REPRESENTATIONSaiprasad Ravishankar, Yoram Bresler, University of Illinois at Urbana-Champaign, United States
xxx
MP-L3: QUALITY IN 3D
MP-L3.1: EFFECT OF DIFFERENCE IN 2D VIDEO QUALITY FOR LEFT AND RIGHT ................605VIEWS ON OVERALL 3D VIDEO QUALITYKazuhisa Yamagishi, Taichi Kawano, Takanori Hayashi, NTT Corporation, Japan
MP-L3.2: STEREOSCOPIC IMAGE QUALITY METRIC BASED ON BINOCULAR .........................609PERCEPTION MODELSeungchul Ryu, Dong Hyun Kim, Kwanghoon Sohn, Yonsei University, Republic of Korea
MP-L3.3: FRAME LOSS VISIBILITY MODELING OF STEREOSCOPIC VIDEO FOR ....................613H.264/AVC-MVCArash Vosoughi, Pamela Cosman, University of California, San Diego, United States
MP-L3.4: OPTIMIZING 3D IMAGE DISPLAY USING THE STEREOACUITY ..................................617FUNCTIONMing-Jun Chen, University of Texas at Austin, United States; Do-Kyoung Kwon, Texas Instruments Inc., United States; Lawrence K. Cormack, Alan C. Bovik, University of Texas at Austin, United States
MP-L3.5: 3D-SSIM FOR VIDEO QUALITY ASSESSMENT .....................................................................621Kai Zeng, Zhou Wang, University of Waterloo, Canada
MP-L3.6: AN ABSTRACTION BASED REDUCED REFERENCE DEPTH PERCEPTION ................625METRIC FOR 3D VIDEOGokce Nur, Kirikkale University, Turkey; Gozde Bozdagi Akar, Middle East Technical University, Turkey
MP-L3.7: ANALYSIS AND IMPROVEMENT OF A PAIRED COMPARISON METHOD IN .............629THE APPLICATION OF 3DTV SUBJECTIVE EXPERIMENTJing Li, Marcus Barkowsky, Patrick Le Callet, University of Nantes, France
MP-L4: FACE RECOGNITION I
MP-L4.1: ENVIRONMENT COUPLED METRICS LEARNING FOR UNCONSTRAINED ................577FACE VERIFICATIONXinyuan Cai, Chunheng Wang, Baihua Xiao, Ji Zhou, Xue Chen, Institute of Automation, Chinese Academy of Sciences, China
MP-L4.2: L2-NORM METRIC LEARNING APPLIED TO UNCONSTRAINED FACE .......................581PAIR-MATCHINGRafael M. Barreto, Ing Ren Tsang, George D. C. Cavalcanti, Federal University of Pernambuco, Brazil
MP-L4.3: LOCAL ZERNIKE MOMENTS: A NEW REPRESENTATION FOR FACE ........................585RECOGNITIONEvangelos Sariyanidi, Volkan Dagli, Salih Cihan Tek, Birkan Tunç, Muhittin Gökmen, Istanbul Technical University, Turkey
MP-L4.4: MULTIPLE PATTERNS OF GRADIENT MAGNITUDES FOR FACE ................................589RECOGNITIONNgoc-Son Vu, Huu-Tuan Nguyen, Alice Caplier, GIPSA-LAB, Grenoble Institute of Technology, France
MP-L4.5: INCREMENTAL SUBCLASS DISCRIMINANT ANALYSIS: A CASE STUDY IN .............593FACE RECOGNITIONHemank Lamba, Tejas Dhamecha, Mayank Vatsa, Richa Singh, IIIT Delhi, India
xxxi
MP-L4.6: LOCAL HISTOGRAM SPECIFICATION USING LEARNED HISTOGRAMS FOR .........597FACE RECOGNITIONHui-Dong Liu, Ming Yang, Nanjing Normal University, China
MP-L4.7: FAST HUMAN DETECTION USING SELECTIVE BLOCK-BASED HOG-LBP .................601Won-Jae Park, Dae-Hwan Kim, Suryanto Tan, Korea University, Republic of Korea; Chun-Gi Lyuh, Tae Moon Roh, Electronics and Telecommunications Research Institute, Republic of Korea; Sung-Jea Ko, Korea University, Republic of Korea
MP-L5: SALIENCY
MP-L5.1: EXTENDED NON-LOCAL MEANS FILTER FOR SURFACE SALIENCY .........................633DETECTIONYitian Zhao, Yonghuai Liu, Ran Song, Min Zhang, Aberystwyth University, United Kingdom
MP-L5.2: CONDITIONAL RANDOM FIELD-BASED MESH SALIENCY .............................................637Ran Song, Yonghuai Liu, Yitian Zhao, Aberystwyth University, United Kingdom; Ralph Martin, Paul Rosin, Cardiff University, United Kingdom
MP-L5.3: RARE: A NEW BOTTOM-UP SALIENCY MODEL .................................................................641Nicolas Riche, Matei Mancas, Bernard Gosselin, Thierry Dutoit, University of Mons, Belgium
MP-L5.4: A VISUAL SALIENCY BASED VIDEO HASHING ALGORITHM ........................................645Jing Wang, Jiande Sun, Ju Liu, Shandong University, China; Xiushan Nie, Hua Yan, Shandong University of Finance and Economics, China
MP-L5.5: SALIENT VIEW SELECTION BASED ON SPARSE REPRESENTATION ..........................649Yi-Chen Chen, Vishal M. Patel, Rama Chellappa, University of Maryland, United States; P. Jonathon Phillips, National Institute of Standards and Technology, United States
MP-L5.6: SALIENCY MAPPING ENHANCED BY SYMMETRY FROM LOCAL PHASE .................653Shane Grant, Laurent Itti, University of Southern California, United States
MP-L5.7: AN ALGORITHM FOR DETECTING MULTIPLE SALIENT OBJECTS IN ......................657IMAGES VIA ADAPTIVE FEATURE SELECTIONCuong Vu, Damon Chandler, Oklahoma State University, United States
MP-P1: RATE & DISTORTION IN VIDEO CODING
MP-P1.1: PREDICTING SLICE LOSS DISTORTION IN H.264/AVC VIDEO FOR LOW ..................689COMPLEXITY DATA PRIORITIZATIONSeethal Paluri, San Diego State University, United States; Kashyap Kambhatla, University of California, San Diego, United States; Sunil Kumar, Barbara Bailey, San Diego State University, United States; Pamela Cosman, University of California, San Diego, United States; John Matyjas, Air Force Research Laboratory, United States
MP-P1.2: COMPARISON OF OBJECTIVE QUALITY METRICS ON THE SCALABLE ..................693EXTENSION OF H.264/AVCJong-Seok Lee, Yonsei University, Republic of Korea
xxxii
MP-P1.3: END-TO-END DISTORTION ESTIMATION FOR H.264 WITH ...........................................697UNCONSTRAINED INTRA PREDICTIONDong Zhang, Jie Liang, Simon Fraser University, Canada; Inder Singh, Broadcom, Canada
MP-P1.4: AN EFFICIENT MULTIPLICATION-FREE AND LOOK-UP TABLE-FREE ......................701ADAPTIVE BINARY ARITHMETIC CODEREvgeny Belyaev, Tampere University of Technology, Finland; Andrey Turlikov, Saint-Petersburg State University of Aerospace Instrumentation, Russian Federation; Karen Egiazarian, Moncef Gabbouj, Tampere University of Technology, Finland
MP-P1.5: SINGLE PASS DEPENDENT BIT ALLOCATION FOR H.264 TEMPORAL .......................705SCALABILITYJiaying Liu, Peking University, China; Yongjin Cho, University of Southern California, United States; Zongming Guo, Peking University, China
MP-P1.6: SIFT FEATURE-PRESERVING BIT ALLOCATION FOR H.264/AVC VIDEO ..................709COMPRESSIONJianshu Chao, Eckehard Steinbach, Technische Universität München, Germany
MP-P1.7: A DYNAMIC SLICE CONTROL SCHEME FOR SLICE-PARALLEL VIDEO ...................713ENCODINGLili Zhao, Beihang University, China; Jizheng Xu, Microsoft Research Asia, China; You Zhou, Microsoft, United States; Mingjing Ai, Beihang University, China
MP-P1.8: OPTIMIZATION OF SPATIAL, TEMPORAL AND AMPLITUDE RESOLUTION ............717FOR RATE-CONSTRAINED VIDEO CODING AND SCALABLE VIDEO ADAPTATIONHao Hu, Polytechnic Institute of New York University, United States; Zhan Ma, Samsung Telecommunications America, United States; Yao Wang, Polytechnic Institute of New York University, United States
MP-P1.9: TOWARDS PREDICTOR, QUANTIZER AND ENTROPY CODER ......................................721OPTIMALITY IN SCALABLE VIDEO CODINGJingning Han, Kenneth Rose, University of California, Santa Barbara, United States
MP-P1.10: JOINT RATE ALLOCATION FOR STATISTICAL MULTIPLEXING OF SVC ................725Wei Yao, Institute for Infocomm Research, A*Star, Singapore; Lap-Pui Chau, Nanyang Technological University, Singapore; Susanto Rahardja, Institute for Infocomm Research, A*Star, Singapore
MP-P1.11: A UNIFIED AND COMPLEXITY SCALABLE ENTROPY CODING SCHEME ...............729FOR VIDEO COMPRESSIONMatthias Preiss, Detlev Marpe, Benjamin Bross, Fraunhofer Heinrich-Hertz-Institute, Germany; Valeri George, Technische Universität Berlin, Germany; Heiner Kirchhoffer, Tung Nguyen, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Fraunhofer Heinrich-Hertz-Institute, Germany
MP-P1.12: FAST TRANSCODING FOR VIDEO DELIVERY BY MEANS OF A CONTROL .............733STREAMGlenn Van Wallendael, Jan De Cock, Rik Van de Walle, Ghent University, Belgium
MP-P1.13: A COMPLEXITY-SCALABLE TRANSCODER FROM H.264/AVC TO THE NEW .........737HEVC CODECEduardo Peixoto, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom
xxxiii
MP-P2: ACTION RECOGNITION I
MP-P2.1: DOMINANT SPATIO-TEMPORAL MODULATIONS AND ENERGY TRACKING ..........741IN VIDEOS: APPLICATION TO INTEREST POINT DETECTION FOR ACTION RECOGNITIONChristos Georgakis, Petros Maragos, National Technical University of Athens, Greece; Georgios Evangelopoulos, University of Houston, United States; Dimitrios Dimitriadis, AT&T Labs-Research, United States
MP-P2.2: HUMAN ACTION RECOGNITION USING HISTOGRAPHIC METHODS AND ...............745HIDDEN MARKOV MODELS FOR VISUAL MARTIAL ARTS APPLICATIONSSotirios Stasinopoulos, Petros Maragos, National Technical University of Athens, Greece
MP-P2.3: WHO IS DOING WHAT? SIMULTANEOUS RECOGNITION OF ACTIONS ....................749AND ACTORSMuhammad Shahzad Cheema, Abdalrahman Eweiwi, University of Bonn, Germany; Christian Bauckhage, Fraunhofer Institute IAIS, Germany
MP-P2.4: LEARNING TEMPORAL RELATIONS AMONG FEATURES FOR HUMAN ....................N/AACTION RECOGNITIONWen Zhou, Baihua Xiao, Chunheng Wang, Zhong Zhang, Rongguo Zhang, Long Ma, Institute of Automation, Chinese Academy of Sciences, China
MP-P2.5: HIGH ORDER CO-OCCURRENCE OF VISUAL WORDS FOR ACTION ...........................757RECOGNITIONLei Zhang, Harbin Engineering University, China; Xiantong Zhen, Ling Shao, University of Sheffield, United Kingdom
MP-P2.6: A CLASS OF SPACE-VARYING PARAMETRIC MOTION FIELDS FOR HUMAN .........761ACTIVITY RECOGNITIONJacinto Nascimento, Jorge S. Marques, ISR-IST, Portugal; João Lemos, INESC-IST, Portugal
MP-P2.7: AN SVM APPROACH FOR ACTIVITY RECOGNITION BASED ON ..................................765CHORD-LENGTH-FUNCTION SHAPE FEATURESSamy Sadek, Ayoub Al-Hamadi, Bernd Michaelis, Usama Sayed, IESK/OVGU, Germany
MP-P2.8: A SPATIOTEMPORAL DESCRIPTOR BASED ON RADIAL DISTANCES AND 3D .........769JOINT TRACKING FOR ACTION CLASSIFICATIONSherif Azary, Andreas Savakis, Rochester Institute of Technology, United States
MP-P2.9: HUMAN ACTION RECOGNITION BASED ON A HEAT KERNEL .....................................N/ASTRUCTURAL DESCRIPTORBaoxin Wu, Chunfeng Yuan, Weiming Hu, Institute of Automation, Chinese Academy of Sciences, China
MP-P2.10: ACTLETS: A NOVEL LOCAL REPRESENTATION FOR HUMAN ACTION ..................777RECOGNITION IN VIDEOMuhammad Muneeb Ullah, Ivan Laptev, INRIA - Willow Project, France
MP-P2.11: CLUSTERING ON GRASSMANN MANIFOLDS VIA KERNEL EMBEDDING ...............781WITH APPLICATION TO ACTION ANALYSISSareh Shirazi, Mehrtash Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell, National ICT Australia (NICTA), Australia
xxxiv
MP-P2.12: ACTION RECOGNITION IN STILL IMAGES USING A COMBINATION OF ................785HUMAN POSE AND CONTEXT INFORMATIONYin Zheng, Yu-Jin Zhang, Xue Li, Bao-Di Liu, Tsinghua University, China
MP-P3: DOCUMENT IMAGING & PRINTING
MP-P3.1: A NEW FRAMEWORK FOR AUTOMATIC QUALITY ASSESSMENT OF PRINT ..........789MEDIAMohan Liu, Fraunhofer Heinrich-Hertz-Institute, Germany; Iuliu Konya, Fraunhofer Institute IAIS, Germany; Jan Nandzik, Nicolas Flores-Herr, Acosta Consult GmbH, Germany; Stefan Eickeler, Fraunhofer Institute IAIS, Germany; Patrick Ndjiki-Nya, Fraunhofer Heinrich-Hertz-Institute, Germany
MP-P3.2: OPTICAL CHARACTER RECOGNITION WITH FAST TRAINING NEURAL .................N/ANETWORKHuei-Yung Lin, Chin-Yu Hsu, National Chung Cheng University, Taiwan
MP-P3.3: FAST TEXT LINE EXTRACTION IN DOCUMENT IMAGES ................................................797Seong Jong Ha, Bora Jin, Nam Ik Cho, Seoul National University, Republic of Korea
MP-P3.4: WHITE PATCH GAMUT MAPPING COLOUR CONSTANCY ..............................................801Hamid Reza Vaezi Joze, Mark Drew, Simon Fraser University, Canada
MP-P3.5: VECTORIZING LINE DRAWINGS WITH NEAR-CONSTANT LINE WIDTH ...................805Bin Bao, Hongbo Fu, City University of Hong Kong, Hong Kong SAR of China
MP-P3.6: ADAPTIVE COLOR-TO-GRAY IMAGE MAPPING USING DIRECTIONAL ....................809TRANSFORMYuko Miyashita, Utsunomiya University, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan
MP-P3.7: HIGH EFFICIENT DIRECT BINARY SEARCH USING MULTIPLE LOOKUP ................813TABLESJing-Ming Guo, Yun-Fu Liu, Jla-Yu Chang, National Taiwan University of Science and Technology, Taiwan
MP-P3.8: DIRECT MULTI-BIT SEARCH (DMS) SCREEN ALGORITHM ............................................817Kartheek Chandu, Mikel Stanich, Ricoh Production Print Solutions, LLC, United States; Chai Wah Wu, Barry Trager, IBM T.J. Watson Research Center, United States
MP-P3.9: HEVC-BASED SCANNED DOCUMENT COMPRESSION ......................................................821Alexandre Zaghetto, Bruno Macchiavello, Ricardo de Queiroz, Universidade de Brasília, Brazil
MP-P3.10: THE IMPORTANCE OF THE NORMALIZING CHANNEL IN ...........................................825LOG-CHROMATICITY SPACEEva Eibenberger, Elli Angelopoulou, University of Erlangen-Nuremberg, Germany
MP-P3.11: MULTILEVEL HALFTONE SCREEN DESIGN: KEEPING TEXTURE OR .....................829KEEPING SMOOTHNESS?Xujie Zhang, Purdue University, United States; Alex Veis, Robert Ulichney, Hewlett-Packard Company, Israel; Jan Allebach, Purdue University, United States
MP-P3.12: HIGH CONTRAST STOCHASTIC SCREEN WATERMARKS FOR COLOR ...................833HALFTONE PRINTSGaurav Sharma, University of Rochester, United States; Shen-Ge Wang, Xerox Corporation, United States
xxxv
MP-P3.13: CONTEXTUAL DETECTION OF DRAWN SYMBOLS IN OLD MAPS ..............................837Jonathan Guyomard, Nicolas Thome, Matthieu Cord, Thierry Artières, LIP6, France
MP-P4: SUPER RESOLUTION & INTERPOLATION
MP-P4.1: BLOCK-OVERLAP-BASED VALIDITY METRIC FOR HYBRID ........................................841DE-INTERLACINGMichael Santoro, Ghassan AlRegib, Yucel Altunbasak, Georgia Institute of Technology, United States
MP-P4.2: EXEMPLAR-BASED FRAME RATE UP-CONVERSION WITH CONGRUENT ................845SEGMENTATIONSeong-Gyun Jeong, Chul Lee, Chang-Su Kim, Korea University, Republic of Korea
MP-P4.3: A GPU-BASED IMPLEMENTATION ON SUPER-RESOLUTION ........................................849RECONSTRUCTIONKai Wang, Lifu Wang, Jian Lu, Yi Sun, Dalian University of Technology, China; Shuping Zhao, Dalian Ocean University, China
MP-P4.4: A GRADIENT GUIDED DEINTERLACING ALGORITHM ....................................................853Bora Jin, Jung Gap Kuk, Nam Ik Cho, Seoul National University, Republic of Korea
MP-P4.5: VIDEO FRAME INTERPOLATION USING 3-D TOTAL VARIATION ...............................857REGULARIZED COMPLETIONZhefei Yu, Zhangyang Wang, Zeng Hu, Qing Ling, Houqiang Li, University of Science and Technology of China, China
MP-P4.6: VIDEO DEINTERLACING WITH CONTROL GRID INTERPOLATION ............................861Ragav Venkatesan, Christine Zwart, David Frakes, Arizona State University, United States
MP-P4.7: CONTENT ASPECT RATIO PRESERVING MESH-BASED IMAGE RESIZING ...............865Kazu Mishiba, Tottori University, Japan; Masaaki Ikehara, Keio University, Japan; Takeshi Yoshitome, Tottori University, Japan
MP-P4.8: WIENER BASED SPATIAL RESOLUTION ENHANCEMENT OF MRI .............................869SEQUENCES OF THE VOCAL TRACT: A COMPARISON BETWEEN TWO CORRELATION MODELSAna Martins, Nelson Mascarenhas, Universidade Federal de São Carlos, Brazil
MP-P4.9: A GRADIENT BASED NEIGHBORHOOD FILTER FOR DISPARITY ................................873INTERPOLATIONVanel Lazcano, Pablo Arias, Universitat Pompeu Fabra, Spain; Gabriele Facciolo, CMLA ENS Cachan, France; Vicent Caselles, Universitat Pompeu Fabra, Spain
MP-P4.10: VIDEO SUPER-RESOLUTION BASED ON LOCAL INVARIANT FEATURES ...............877MATCHINGRenan Ferreira, Edson M. Hung, Ricardo de Queiroz, Universidade de Brasília, Brazil
MP-P4.11: IMAGE RESOLUTION UP-CONVERSION VIA MAXIMUM A POSTERIORI ................881INTERPOLATOR SEQUENCE ESTIMATION AND VITERBI ALGORITHMFarhang Vedadi, Shahram Shirani, McMaster University, Canada
xxxvi
MP-P5: COMPRESSIVE SENSING
MP-P5.1: COMPRESSIVE VIDEO SENSING USING NON-LINEAR MAPPING ..................................885Xinyu Zhang, Jiangtao Wen, Tsinghua University, China
MP-P5.2: STEREO VIDEO CODING USING DISTRIBUTED COMPRESSIVE ...................................889SENSING WITH JOINT DICTIONARYHuihui Bai, Beijing Jiaotong University, China; Mengmeng Zhang, North China University of Technology, China; Anhong Wang, Taiyuan University of Science and Technology, China; Yao Zhao, Beijing Jiaotong University, China
MP-P5.3: VIDEO COMPRESSIVE SENSING WITH 3-D WAVELET AND 3-D ...................................893NOISELETDao Lam, Donald Wunsch, Missouri University of Science & Technology, United States
MP-P5.4: MULTI-TASK LOW-RANK AND SPARSE MATRIX RECOVERY FOR HUMAN ............897MOTION SEGMENTATIONXiangyang Wang, Wanggen Wan, Shanghai University, China; Guangcan Liu, National University of Singapore, Singapore
MP-P5.5: COMPRESSED SENSING BASED IMAGE FORMATION OF SAR/ISAR DATA IN .........901PRESENCE OF BASIS MISMATCHAhmed Khwaja, Xiao-Ping Zhang, Ryerson University, Canada
MP-P5.6: ROBUST COMPRESSED SENSING IN GAUSSIAN NOISE ENVIRONMENT ...................905BY RESAMPLING WITH REPLACEMENTParichat Sermwuthisarn, Chulalongkorn University, Thailand; Duangrat Gansawat, National Electronics and Computer Technology Center, Thailand; Vorapoj Patanavijit, Assumption University, Thailand; Supatana Auethavekiat, Chulalongkorn University, Thailand
MP-P5.7: BLOCK-BASED VARIABLE DENSITY COMPRESSED IMAGE SAMPLING ....................909Wei Qiao, Bin Liu, University of Science and Technology of China, China; Zixiang Xiong, Texas A&M University, United States; Gonzalo R. Arce, Javier Garcia-Frias, University of Delaware, United States; Wenwu Zhu, Tsinghua University, China; Zhisheng Yan, University of Science and Technology of China, China
MP-P5.8: GRADIENT-BASED SURFACE RECONSTRUCTION USING COMPRESSED .................913SENSINGMohammad Rostami, Oleg Michailovich, Zhou Wang, University of Waterloo, Canada
MP-P5.9: VIDEO RECONSTRUCTION USING COMPRESSED SENSING ..........................................917MEASUREMENTS AND 3D TOTAL VARIATION REGULARIZATION FOR BIO-IMAGING APPLICATIONSYoann Le Montagner, Institut Pasteur, France; Elsa Angelini, Telecom ParisTech, France; Jean-Christophe Olivo-Marin, Institut Pasteur, France
MP-P5.10: CORRELATED GAUSSIAN DESIGNS FOR COMPRESSIVE IMAGING ..........................921Nikhil Rao, Robert Nowak, University of Wisconsin - Madison, United States
MP-P5.11: COMPRESSIVE SAMPLING WITH UNKNOWN BLURRING FUNCTION: ....................925APPLICATION TO PASSIVE MILLIMETER-WAVE IMAGINGBruno Amizic, Leonidas Spinoulas, Northwestern University, United States; Rafael Molina, Universidad de Granada, Spain; Aggelos Katsaggelos, Northwestern University, United States
xxxvii
MP-P5.12: ADAPTIVE COMPRESSED SENSING FOR DEPTHMAP COMPRESSION .....................929USING GRAPH-BASED TRANSFORMSungwon Lee, Antonio Ortega, University of Southern California, United States
MP-P5.13: JOINT TRACE/TV NORM MINIMIZATION: A NEW EFFICIENT APPROACH ............933FOR SPECTRAL COMPRESSIVE IMAGINGMohammad Golbabaee, Pierre Vandergheynst, Ecole Polytechnique Fédérale de Lausanne, Switzerland
MP-P5.14: INVARIANCE OF PRINCIPAL COMPONENTS UNDER LOW-DIMENSIONAL ...........937RANDOM PROJECTION OF THE DATAHanchao Qi, Shannon Hughes, University of Colorado at Boulder, United States
MP-P6: ENHANCEMENT
MP-P6.1: RAINDROP DETECTION AND REMOVAL USING SALIENT VISUAL .............................941FEATURESQi Wu, Carnegie Mellon University, United States; Wende Zhang, General Motors, United States; B.V.K. Vijaya Kumar, Carnegie Mellon University, United States
MP-P6.2: A CELL-BASED MATTING LAPLACIAN FOR CONTRAST ENHANCEMENT ................945Chen-Yu Tseng, Sheng-Jyh Wang, National Chiao-Tung University, Taiwan
MP-P6.3: SPATIALLY ADAPTIVE PDES FOR ROBUST IMAGE SHARPENING ...............................949El Hadji Diop, Jesus Angulo, Center of Mathematical Morphology, France
MP-P6.4: IMAGE DE-QUANTIZATION VIA SPATIALLY VARYING SPARSITY PRIOR................953Pengfei Wan, Oscar C. Au, Ketan Tang, Yuanfang Guo, Hong Kong University of Science and Technology, Hong Kong SAR of China
MP-P6.5: NIGHTTIME HAZE REMOVAL USING COLOR TRANSFER .............................................957PRE-PROCESSING AND DARK CHANNEL PRIORSoo-Chang Pei, Tzu-Yen Lee, National Taiwan University, Taiwan
MP-P6.6: DETECTING OF CONTRAST OVER-ENHANCEMENT.........................................................961H.D. Cheng, Harbin Institute of Technology, China; Utah State University, United States; Yingtao Zhang, School of Computer Science and Technology, Harbin Institute of Technology, China
MP-P6.7: CONTRAST ENHANCEMENT BASED ON LAYERED DIFFERENCE ...............................965REPRESENTATIONChulwoo Lee, Chul Lee, Chang-Su Kim, Korea University, Republic of Korea
MP-P6.8: TEMPORALLY COHERENT REAL-TIME VIDEO DEHAZING ...........................................969Jin-Hwan Kim, Won-Dong Jang, Korea University, Republic of Korea; Yongsup Park, Dong-Hahk Lee, SK Telecom, Republic of Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea
MP-P6.9: INTERNAL NOISE-INDUCED CONTRAST ENHANCEMENT OF DARK .........................973IMAGESRajib Kumar Jha, PDPM Indian Institute of Information Technology Jabalpur, India; Rajlaxmi Chouhan, Prabir Kumar Biswas, Indian Institute of Technology Kharagpur, India; Kiyoharu Aizawa, University of Tokyo, Japan
xxxviii
MP-P6.10: IMAGE DETAIL ENHANCEMENT USING A DICTIONARY TECHNIQUE .....................977Anustup Choudhury, University of Southern California, United States; Peter van Beek, Andrew Segall, Sharp Laboratories of America, Inc., United States
MP-P6.11: SPATIO-TEMPORAL TOF DATA ENHANCEMENT BY FUSION ......................................981Frederic Garcia, Djamila Aouada, University of Luxembourg, Luxembourg; Bruno Mirbach, IEE S.A., Luxembourg; Björn Ottersten, University of Luxembourg, Luxembourg
MP-P6.12: IMPROVING IMAGE QUALITY IN SMALL ANIMAL DIFFUSION TENSOR ................985IMAGING AT 7TFernando Yepes, Instituto de Investigaciones Biomédicas de Barcelona, IIBB-CSIC, Spain; Yi Lao, Children’s Hospital of Los Angeles, United States; Pierre Fillard, INRIA Parietal - Neurospin, France; Carles Justicia, Anna Planas, Instituto de Investigaciones Biomédicas de Barcelona, IIBB-CSIC, Spain; Marvin D. Nelson, Children’s Hospital of Los Angeles, United States; Guadalupe Soria, Institut d’investigacions Biomediques August Pi i Sunyer, Spain; Natasha Lepore, University of Southern California, United States
MP-P6.13: HAZE FILTERING WITH AERIAL PERSPECTIVE..............................................................989Renjie Gao, Xin Fan, Jielin Zhang, Zhongxuan Luo, Dalian University of Technology, China
MP-P6.14: RESTRICTED GUIDED FILTER WITH SURE-LET-BASED PARAMETER ....................993OPTIMIZATIONCuong Cao Pham, Jae Wook Jeon, Sungkyunkwan University, Republic of Korea
MP-P7: OBJECT IDENTIFICATION & RECOGNITION II
MP-P7.1: EFFICIENT MATCHINGS IN AUGMENTED REALITY APPLICATION ...........................997Wei Guan, Suya You, Ulrich Neumann, University of Southern California, United States
MP-P7.2: SCENE TEXT DETECTION WITH SUPERPIXELS AND HIERARCHICAL ...................1001MODELGang Zhou, Yuehu Liu, Zhiqiang Tian, Xi’an Jiaotong University, China
MP-P7.3: AUTOMATIC IDENTIFICATION OF PRESCRIPTION DRUGS USING SHAPE ............1005DISTRIBUTION MODELSJesus Caban, National Institutes of Health, United States; Adrian Rosebrock, University of Maryland, Baltimore County, United States; Terry Yoo, National Institutes of Health, United States
MP-P7.4: VISUAL RHYTHM-BASED PLANKTON DETECTION METHOD FOR ...........................1009BALLAST WATER QUALITY ASSESSMENTDamian J. Matuszewski, C. Iury O. Martins, Roberto M. Cesar-Jr, University of São Paulo (USP), Brazil; J. Rudi Strickler, University of Wisconsin - Milwaukee, United States; Rubens M. Lopes, University of São Paulo (USP), Brazil
MP-P7.5: ADAPTIVE DENOISING FILTERING FOR OBJECT DETECTION ..................................1013APPLICATIONSSimone Milani, Riccardo Bernardini, Roberto Rinaldo, University of Udine, Italy
MP-P7.6: ROBUST FRONTAL VIEW SEARCH USING MULTI-CAMERA CONSTRAINED ........1017ISOMAPChao Wang, Xubo Song, Oregon Health & Science University, United States
xxxix
MP-P7.7: CORRESPONDENCE-FREE FUNDAMENTAL MATRIX FOR OBJECT .........................1021RECOGNITIONGutemberg Guerra-Filho, University of Texas at Arlington, United States
MP-P7.8: PRUNING PHANTOM DETECTIONS FROM MULTIVIEW FOREGROUND .................1025INTERSECTIONJie Ren, University of Liverpool, United Kingdom; Ming Xu, Xi’an Jiaotong-Liverpool University, China; Jeremy S Smith, University of Liverpool, United Kingdom
MP-P7.9: FULL FLOOR IDENTIFICATION IN IMAGES WITH MINIMAL CLOSE ......................1029RANGE 3D INFORMATIONGavin Smith, Jeremy Morley, University of Nottingham, Australia
MP-P7.10: PETIOLE SHAPE DETECTION FOR ADVANCED LEAF IDENTIFICATION ...............1033Olfa Mzoughi, Itheri Yahiaoui, Nozha Boujemaa, INRIA Rocquencourt, France
MP-P7.11: UNSUPERVISED DETECTION OF SURFACE DEFECTS: A TWO-STEP ......................1037APPROACHJiwon Choi, Changick Kim, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
MP-P7.12: EARLY FIRE AND SMOKE DETECTION BASED ON COLOUR FEATURES ..............1041AND MOTION ANALYSISPietro Morerio, Lucio Marcenaro, Carlo S. Regazzoni, University of Genoa, Italy; Gianluca Gera, Technoaware s.r.l., Italy
MP-P8: PERCEPTUAL CODING & SALIENCY
MP-P8.1: JUST NOTICEABLE DISTORTION MAP PREDICTION FOR PERCEPTUAL ...............1045MULTIVIEW VIDEO CODINGYu Gao, Xiaoyu Xiu, Jie Liang, Simon Fraser University, Canada; Weisi Lin, Nanyang Technological University, Singapore
MP-P8.2: LIGHTNESS ILLUSION: A NEW LOOK FROM COMPRESSIVE SENSING ...................1049PERSPECTIVEXinke Tang, Yi Li, National ICT Australia (NICTA), Australia
MP-P8.3: JPEG-BASED PERCEPTUAL IMAGE CODING WITH BLOCK-BASED IMAGE ..........1053QUALITY METRICLina Jin, Karen Egiazarian, Tampere University of Technology, Finland; C.-C. Jay Kuo, University of Southern California, United States
MP-P8.4: PERCEPTUALLY LOSSLESS HIGH DYNAMIC RANGE IMAGE ....................................1057COMPRESSION WITH JPEG 2000Yang Zhang, Erik Reinhard, David Bull, University of Bristol, United Kingdom
MP-P8.5: SSPQ – SPATIAL DOMAIN PERCEPTUAL IMAGE CODEC BASED ON ........................1061SUBSAMPLING AND PERCEPTUAL QUANTIZATIONZhe Wang, Sven Simon, Michael Klaiber, Silvia Ahmed, Thomas Richter, University of Stuttgart, Germany
xl
MP-P8.6: MATCHED-TEXTURE CODING FOR STRUCTURALLY LOSSLESS ..............................1065COMPRESSIONGuoxin Jin, Northwestern University, United States; Yuanhao Zhai, University of Michigan, United States; Thrasyvoulos Pappas, Northwestern University, United States; David Neuhoff, University of Michigan, United States
MP-P8.7: VISUAL SALIENCY ESTIMATION USING SUPPORT VALUE TRANSFORM ...............1069Weibin Yang, Bin Fang, Yuan Yan Tang, Zhaowei Shang, Hengjun Zhao, School of Computer Science, Chongqing University, China
MP-P8.8: SALIENCY DETECTION VIA STATISTICAL NON-REDUNDANCY ................................1073Aanchal Jain, Alexander Wong, Paul Fieguth, University of Waterloo, Canada
MP-P8.9: FROM RARENESS TO COMPACTNESS: CONTRAST-AWARE IMAGE ........................1077SALIENCY DETECTIONHsin-Ho Yeh, Chu-Song Chen, Academia Sinica, Taiwan
MP-P8.10: DIRECTING VISUAL ATTENTION BY SUBLIMINAL CUES ...........................................1081Tai-Hsiang Huang, Yung-Hao Yang, Hsin-I Liao, Su-Ling Yeh, Homer Chen, National Taiwan University, Taiwan
MP-P8.11: SALIENCY DETECTION BASED ON INTEGRATION OF BOUNDARY AND ..............1085SOFT-SEGMENTATIONJing Sun, Huchuan Lu, Shifeng Li, Dalian University of Technology, China
MP-P8.12: AUTOMATIC SALIENCY INSPIRED FOREGROUND OBJECT EXTRACTION .........1089FROM VIDEOSWei-Te Li, Academia Sinica, Taiwan; Hui-Tang Chang, Hermes Shing Lyu, National Taiwan University, Taiwan; Yu-Chiang Frank Wang, Academia Sinica, Taiwan
MP-P8.13: RELATIONAL ENTROPY-BASED SALIENCY DETECTION IN IMAGES AND ..........1093VIDEOSKester Duncan, Sudeep Sarkar, University of South Florida, United States
MP-P8.14: OBJECT-AWARE SALIENCY DETECTION FOR CONSUMER IMAGES ......................1097Hao Tang, Hewlett-Packard Laboratories, United States
TA-L1: VISUAL SENSOR NETWORKS
TA-L1.1: PRIORITY-BASED CROSS-LAYER OPTIMIZATION FOR MULTIHOP .........................1101DS-CDMA VISUAL SENSOR NETWORKSEftychia Datsika, Angeliki Katsenou, Lisimachos Kondi, Evangelos Papapetrou, Konstantinos Parsopoulos, University of Ioannina, Greece
TA-L1.2: RATE-ACCURACY OPTIMIZATION IN VISUAL WIRELESS SENSOR ..........................1105NETWORKSAlessandro Redondi, Matteo Cesana, Marco Tagliasacchi, Politecnico di Milano, Italy
TA-L1.3: CONSENSUS-BASED DISTRIBUTED ESTIMATION IN CAMERA NETWORKS ...........1109Ahmed Kamal, Jay Farrell, Amit Roy-Chowdhury, University of California, Riverside, United States
xli
TA-L1.4: INTERACTION RECOGNITION IN WIDE AREAS USING AUDIOVISUAL ...................1113SENSORSMurtaza Taj, Andrea Cavallaro, Queen Mary, University of London, United Kingdom
TA-L1.5: QUALITY-DRIVEN POWER CONTROL AND RESOURCE ALLOCATION IN ..............1117WIRELESS MULTI-RATE VISUAL SENSOR NETWORKSAngeliki Katsenou, Lisimachos Kondi, Konstantinos Parsopoulos, University of Ioannina, Greece; Elizabeth Bentley, Air Force Research Laboratory, United States
TA-L1.6: EVENT-DRIVEN VIDEO CODING FOR OUTDOOR WIRELESS ......................................1121MONITORING CAMERASZichong Chen, Guillermo Barrenetxea, Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TA-L2: CLASSIFICATION
TA-L2.1: WAVELET SUBBAND-BASED STEAM DETECTION BY MULTIPLE KERNEL ...........1153LEARNINGSharmin Nilufar, Nilanjan Ray, Hong Zhang, University of Alberta, Canada
TA-L2.2: A HISTOGRAM SEMANTIC-BASED DISTANCE FOR MULTIRESOLUTION ...............1157IMAGE CLASSIFICATIONCamille Kurtz, Nicolas Passat, Pierre Gançarski, Anne Puissant, University of Strasbourg, France
TA-L2.3: STRUCTURED SPARSE LINEAR DISCRIMINANT ANALYSIS .........................................1161Zhen Cui, Chinese Academy of Sciences; HuaQiao University, China; Shiguang Shan, Chinese Academy of Sciences, China; Haihong Zhang, Shihong Lao, Omron Social Solutions Co., LTD., Japan; Xilin Chen, Chinese Academy of Sciences, China
TA-L2.4: LEARNING PATTERN TRANSFORMATION MANIFOLDS FOR .....................................1165CLASSIFICATIONElif Vural, Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TA-L2.5: REGULARIZED ADAPTIVE CLASSIFICATION BASED ON IMAGE RETRIEVAL .....1169FOR CLUSTERED MICROCALCIFICATIONSHao Jing, Yongyi Yang, Illinois Institute of Technology, United States
TA-L2.6: INTRA-CLASS MULTI-OUTPUT REGRESSION BASED SUBSPACE ANALYSIS ..........1173Karthikeyan Shanmuga Vadivel, Swapna Joshi, Bangalore S. Manjunath, Scott Grafton, University of California, Santa Barbara, United States
TA-L2.7: DISCRIMINANT ACTION REPRESENTATION FOR VIEW-INVARIANT ......................1177PERSON IDENTIFICATIONAlexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
TA-L3: BIOMETRICS & STEGANOGRAPHY
TA-L3.1: IMPROVED PAYLOAD LOCATION FOR LSB MATCHING STEGANOGRAPHY .........1125Xinlu Gui, Xiaolong Li, Bin Yang, Peking University, China
xlii
TA-L3.2: TARGETED STEGANALYSIS OF ADAPTIVE PIXEL-VALUE DIFFERENCING ..........1129STEGANOGRAPHYShunquan Tan, Bin Li, Shenzhen University, China
TA-L3.3: STEGANALYSIS BY ENSEMBLE CLASSIFIERS WITH BOOSTING BY ........................1133REGRESSION, AND POST-SELECTION OF FEATURESMarc Chaumont, Sarra Kouider, LIRMM : Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier, France
TA-L3.4: CARDIAC ANATOMY AS A BIOMETRIC ...............................................................................1137Noel Codella, Jonathan Connell, Nalini Ratha, IBM, United States; Jonathan Weinsaft, Weill Cornell Medical College, United States
TA-L3.5: FUSION OF FINGER VEIN AND FINGER DORSAL TEXTURE FOR ...............................1141PERSONAL IDENTIFICATION BASED ON COMPARATIVE COMPETITIVE CODINGWenming Yang, Xiaola Huang, Qingmin Liao, Tsinghua University, China
TA-L3.6: LATENT FINGERPRINT DETECTION AND SEGMENTATION WITH A .......................1145DIRECTIONAL TOTAL VARIATION MODELJiangyang Zhang, Rongjie Lai, C.-C. Jay Kuo, University of Southern California, United States
TA-L3.7: CORRECTION METHOD FOR NONIDEAL IRIS RECOGNITION ....................................1149Eliana Frigerio, Marco Marcon, Augusto Sarti, Stefano Tubaro, Politecnico di Milano, Italy
TA-L4: DENOISING
TA-L4.1: IMPROVING DENOISING FILTERS BY OPTIMAL DIFFUSION .......................................1181Hossein Talebi, Peyman Milanfar, University of California, Santa Cruz, United States
TA-L4.2: ILLUMINATION-INVARIANT NON-LOCAL MEANS BASED VIDEO .............................1185DENOISINGJie Ren, Peking University, China; Yue Zhuo, Beijing Normal University, China; Jiaying Liu, Zongming Guo, Peking University, China
TA-L4.3: DICTIONARY TRANSFER FOR IMAGE DENOISING VIA DOMAIN ADAPTATION ...1189Gang Chen, Caiming Xiong, Jason J. Corso, State University of New York at Buffalo, United States
TA-L4.4: COLOR IMAGE DENOISING BASED ON MULTICHANNEL NON-LOCAL ...................1193MEANS FUSIONJingjing Dai, Oscar C. Au, Feng Zou, Chao Pang, Lu Fang, Hong Kong University of Science and Technology, Hong Kong SAR of China
TA-L4.5: ON THE NATURE OF VARIATIONAL SALT-AND-PEPPER NOISE REMOVAL ..........1197AND ITS FAST APPROXIMATIONYi Wan, Jiafa Zhu, Qiqiang Chen, Lanzhou University, China
TA-L4.6: MEASURING NOISE CORRELATION FOR IMPROVED VIDEO DENOISING ..............1201Anil Kokaram, Damien Kelly, Hugh Denman, Andrew Crawford, Google, Inc., United States
xliii
TA-L4.7: THE UNDECIMATED DUAL TREE COMPLEX WAVELET TRANSFORM AND ..........1205ITS APPLICATION TO BIVARIATE IMAGE DENOISING USING A CAUCHY MODELPaul Hill, Alin Achim, David Bull, University of Bristol, United Kingdom
TA-L5: SEGMENTATION & DEPTH
TA-L5.1: RECOVERING DEPTH OF A DYNAMIC SCENE USING REAL WORLD .......................1209MOTION PRIORAdarsh Kowdle, Noah Snavely, Tsuhan Chen, Cornell University, United States
TA-L5.2: SPLIT AND MERGE APPROACH FOR DETECTING MULTIPLE PLANES IN A ..........1213DEPTH IMAGESeon-Min Rhee, Yong-Beom Lee, James D. K. Kim, Taehyun Rhee, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea
TA-L5.3: DEPTH ORDERING ON IMAGE SEQUENCES USING MOTION ......................................1217OCCLUSIONSGuillem Palou, Philippe Salembier, Technical University of Catalonia, Spain
TA-L5.4: SIFT-BASED MODELING AND CODING OF BACKGROUND SCENES FOR ................1221MULTIVIEW SOCCER VIDEOHaopeng Li, Markus Flierl, KTH-Royal Institute of Technology, Sweden
TA-L5.5: FOREGROUND DETECTION BASED ON LOW-RANK AND BLOCK-SPARSE .............1225MATRIX DECOMPOSITIONCharles Guyon, Thierry Bouwmans, El-Hadi Zahzah, Université de La Rochelle, France
TA-L5.6: FOREGROUND SILHOUETTE EXTRACTION ROBUST TO SUDDEN ............................1229CHANGES OF BACKGROUND APPEARANCEAlexandre Alahi, Luigi Bagnato, Damien Matti, Pierre Vandergheynst, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TA-L5.7: A STOCHASTIC LEARNING ALGORITHM FOR PIXEL-LEVEL BACKGROUND ......1233MODELSNick Mould, Joseph Havlicek, University of Oklahoma, United States
TA-P1: BRAIN IMAGING
TA-P1.1: ALTERNATIVE FEATURE EXTRACTION METHODS IN 3D BRAIN ..............................1237IMAGE-BASED DIAGNOSIS OF ALZHEIMER’S DISEASEEduardo Bicacro, Margarida Silveira, Jorge S. Marques, Instituto Superior Técnico, Portugal
TA-P1.2: FEATURE-BASED BRAIN MRI RETRIEVAL FOR ALZHEIMER DISEASE ...................1241DIAGNOSISMaxim Mizotin, Lomonosov Moscow State University, France; Jenny Benois-Pineau, University Bordeaux, LaBRI, France; Michèle Allard, Gwenaelle Catheline, Université Bordeaux 2, France
TA-P1.3: A FUNCTIONAL CONNECTIVITY INSPIRED APPROACH TO NON-LOCAL ...............1245FMRI ANALYSISAnders Eklund, Linköping University, Sweden / University of Toronto, Canada; Mats Andersson, Hans Knutsson, Linköping University, Sweden
xliv
TA-P1.4: MULTISCALE AND MULTIORIENTATION FEATURE EXTRACTION WITH .............1249DEGENERATIVE PATTERNS FOR 3D NEUROIMAGING RETRIEVALSidong Liu, Weidong Cai, University of Sydney, Australia; Lingfeng Wen, Royal Prince Alfred Hospital, Australia; David Dagan Feng, University of Sydney, Australia
TA-P1.5: A METHOD FOR DETECTING INTERSTRUCTURAL ATROPHY ...................................1253CORRELATION IN MRI BRAIN IMAGESZhuo Sun, Jan.A.C. Veerman, Radu Jasinschi, Philips Research, Netherlands
TA-P1.6: DTI BASED STRUCTURAL DAMAGE CHARACTERIZATION FOR DISORDERS .......1257OF CONSCIOUSNESSFrancisco Gómez, Andrea Soddu, Quentin Noirhomme, Audrey Vanhaudenhuyse, Luaba Tshibanda, University of Liege, Belgium; Leporé Natasha, University of Southern California, Belgium; Steven Laureys, University of Liege, Belgium
TA-P1.7: CONTEXTUAL AND VISUAL MODELING FOR DETECTION OF MILD .......................1261TRAUMATIC BRAIN INJURY IN MRIAnthony Bianchi, Bir Bhanu, Virginia Donovan, University of California, Riverside, United States; Andre Obenaus, Loma Linda University, United States
TA-P1.8: AUTOMATIC DETECTION OF STRUCTURAL CHANGES IN SINGLE ..........................1265CHANNEL LONG TIME-SPAN BRAIN MRI IMAGES USING SALIENCY MAP AND ACTIVE CONTOUR METHODSAndrea Kovacs, Tamas Sziranyi, MTA SZTAKI / PPKE ITK, Hungary; Peter Barsi, SOTE MRKK, Hungary
TA-P1.9: A JOINT STRUCTURAL AND FUNCTIONAL ANALYSIS OF IN-VITRO ........................1269NEURONAL NETWORKSSimona Ullo, Alessio Del Bue, Alessandro Maccione, Luca Berdondini, Vittorio Murino, Istituto Italiano di Tecnologia, Italy
TA-P1.10: ROBUST VOXEL-WISE JOINT DETECTION ESTIMATION OF BRAIN .......................1273ACTIVITY IN FMRILotfi Chaari, Florence Forbes, Thomas Vincent, INRIA Grenoble Rhone-Alpes, LJK, France; Philippe Ciuciu, NeuroSpin, CEA Saclay, France
TA-P2: 3D VIDEO & DEPTH CODING
TA-P2.1: TANGENT-PLANE-CONTINUITY MAXIMIZATION BASED 3D POINT .........................1277COMPRESSIONWenfei Jiang, Jiang Tian, Kangying Cai, Fan Zhang, Tao Luo, Technicolor (China) Technology Co., Ltd., China
TA-P2.2: DEPTH-ASSISTED ERROR CONCEALMENT FOR INTRA FRAME SLICES IN ...........12813D VIDEOMeng Yang, Xi’an Jiaotong University, China; Yuhong Yang, Shanghai Jiaotong University, China; Pamela Cosman, University of California, San Diego, United States
TA-P2.3: ADAPTIVE NONLOCAL RANGE FILTER IN DEPTH MAP CODING ...............................1285Ilsoon Lim, Jaejoon Lee, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea
xlv
TA-P2.4: IMAGE QUALITY VS RATE OPTIMIZED CODING OF WARPS FOR VIEW .................1289SYNTHESIS IN 3D VIDEO APPLICATIONSNikolce Stefanoski, Disney Research Zürich, Switzerland; Manuel Lang, Disney Research Zürich / ETH Zürich, Switzerland; Aljoscha Smolic, Disney Research Zürich, Switzerland
TA-P2.5: EFFICIENT EDGE-PRESERVING INTERPOLATION AND IN-LOOP FILTERS ...........1293FOR DEPTH MAP COMPRESSIONViet Anh Nguyen, Dongbo Min, Advanced Digital Sciences Center, Illinois at Singapore, Singapore; Minh N. Do, University of Illinois at Urbana-Champaign, United States
TA-P2.6: DEPTH MAP COMPRESSION USING MULTI-RESOLUTION GRAPH-BASED .............1297TRANSFORM FOR DEPTH-IMAGE-BASED RENDERINGWei Hu, Hong Kong University of Science and Technology, Hong Kong SAR of China; Gene Cheung, National Institute of Informatics, Japan; Xin Li, West Virginia University, United States; Oscar C. Au, Hong Kong University of Science and Technology, Hong Kong SAR of China
TA-P2.7: EDGE-PRESERVING INTERPOLATION FOR DOWN/UP SAMPLING-BASED .............1301DEPTH COMPRESSIONHuiping Deng, Li Yu, Huazhong University of Science and Technology, China; Zixiang Xiong, Texas A&M University, United States
TA-P2.8: EFFICIENT DEPTH MAP CODING USING LINEAR RESIDUE .........................................1305APPROXIMATION AND A FLEXIBLE PREDICTION FRAMEWORKLuís Lucas, Nuno Rodrigues, Instituto de Telecomunicações, Portugal; Carla Pagliari, Instituto Militar de Engenharia, Brazil; Eduardo Silva, Universidade Federal do Rio de Janeiro, Brazil; Sérgio Faria, Instituto de Telecomunicações, Portugal
TA-P2.9: TUNED SPARSE DEPTH MAP CODING USING REDUNDANT PREDEFINED ..............1309TRANSFORM DOMAINDorsaf Sebai, Faten Chaieb, Khaled Mamou, Faouzi Ghorbel, University of Manouba, Tunisia
TA-P2.10: DEPTH-BASED WEIGHTED BI-PREDICTION FOR VIDEO PLUS DEPTH ..................1313MAP CODINGShinya Shimizu, Hideaki Kimata, Shiori Sugimoto, Akira Kojima, NTT Corporation, Japan
TA-P2.11: 3D VIDEO COMPRESSION BY CODING OF DISOCCLUDED REGIONS.......................1317Marek Domanski, Jacek Konieczny, Maciej Kurc, Robert Ratajczak, Jakub Siast, Olgierd Stankiewicz, Jakub Stankowski, Krzysztof Wegner, Poznan University of Technology, Poland
TA-P2.12: ANALYSIS OF MODE CORRELATION BETWEEN TEXTURE AND DEPTH ..............1321IMAGES IN MULTI-VIEW VIDEO PLUS DEPTH FORMATJin Young Lee, Jaejoon Lee, Du-Sik Park, Samsung Electronics Co., Ltd., Republic of Korea
TA-P2.13: NEW HEVC PREDICTION MODES FOR 3D HOLOSCOPIC VIDEO ..............................1325CODINGCaroline Conti, Paulo Nunes, Luis Ducla Soares, Instituto de Telecomunicações, Portugal
TA-P2.14: JOINT VIEW FILTERING FOR MULTIVIEW DEPTH MAP SEQUENCES ....................1329Ri Li, University of Science and Technology of China, China; Dmytro Rusanovskyy, Miska Hannuksela, Nokia Corp, Finland; Houqiang Li, University of Science and Technology of China, China
xlvi
TA-P3: TRACKING II
TA-P3.1: A REGION-BASED PARTICLE FILTER FOR GENERIC OBJECT TRACKING ............1333AND SEGMENTATIONDavid Varas, Ferran Marques, Universitat Politècnica de Catalunya, Spain
TA-P3.2: PARTIAL MOTION TRAJECTORY GROUPING THROUGH ROOTED ..........................1337ARBORESCENCEFan Chen, Japan Advanced Institute of Science and Technology, Japan; Christophe De Vleeschouwer, Universite catholique de Louvain, Belgium
TA-P3.3: RAINDROPS SIZE FROM VIDEO AND IMAGE PROCESSING ..........................................1341Michel Desvignes, GIPSA-LAB, France; Gilles Molinié, LTHE, France
TA-P3.4: EVALUATION OF TRACKING ALGORITHM PERFORMANCE WITHOUT .................1345GROUND-TRUTH DATAConcetto Spampinato, Simone Palazzo, University of Catania - DIEEI, Italy; Daniela Giordano, University of Catania, Italy
TA-P3.6: STANDALONE EVALUATION OF DETERMINISTIC VIDEO TRACKING .....................1353Juan C. SanMiguel, Universidad Autónoma of Madrid, Spain; Andrea Cavallaro, Queen Mary, University of London, United Kingdom; José M. Martínez, Universidad Autónoma of Madrid, Spain
TA-P3.7: JOINT VIEW-IDENTITY MANIFOLD FOR TARGET TRACKING AND .........................1357RECOGNITIONJiulu Gong, Beijing Institute of Technology, China; Guoliang Fan, Liangjiang Yu, Oklahoma State University, United States; Joseph Havlicek, University of Oklahoma, United States; Derong Chen, Beijing Institute of Technology, China
TA-P3.8: CAMERA TRACKING USING CONCENTRIC CIRCLE MARKERS: PARADIGMS ......1361AND ALGORITHMSLilian Calvet, Pierre Gurdjos, Vincent Charvillat, Institut de Recherche en Informatique de Toulouse, France
TA-P3.9: VISUAL TRACKING WITH ROBUST TARGET LOCALIZATION.....................................N/AIlker Ersoy, Kannappan Palaniappan, University of Missouri Columbia, United States; Guna Seetharaman, Air Force Research Laboratory, United States
TA-P3.10: VARIATIONAL BAYESIAN INFERENCE FOR FORWARD-BACKWARD VISUAL ....1369TRACKING IN STEREO SEQUENCESGiannis Chantas, Nikos Nikolaidis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
TA-P4: ACTION RECOGNITION II
TA-P4.1: ACTION RECOGNITION USING INSTANCE-SPECIFIC AND ...........................................1373CLASS-CONSISTENT CUESChin-An Lin, National Taiwan University, Taiwan; Yen-Yu Lin, Hong-Yuan Mark Liao, Academia Sinica, Taiwan; Shyh-Kang Jeng, National Taiwan University, Taiwan
TA-P4.2: MARKOV RANDOM FIELD-BASED REAL-TIME DETECTION OF ................................1377INTENTIONALLY-CAPTURED PERSONSTatsuya Koyama, School of Engineering Osaka University, Japan; Yuta Nakashima, Noboru Babaguchi, Osaka University, Japan
xlvii
TA-P4.3: HUMAN ACTION CATEGORIES USING MOTION DESCRIPTORS .................................1381Xu Zhang, Zhenjiang Miao, Lili Wan, Beijing Jiaotong University, China
TA-P4.4: HUMAN ACTION RECOGNITION IN VIDEO DATA USING INVARIANT .....................1385CHARACTERISTIC VECTORSNazim Ashraf, Hassan Foroosh, University of Central Florida, United States
TA-P4.5: IMPROVED GAIT RECOGNITION USING GRADIENT HISTOGRAM ENERGY .........1389IMAGEMartin Hofmann, Gerhard Rigoll, Technische Universität München, Germany
TA-P4.6: GAIT RECOGNITION BY LEARNING DISTRIBUTED KEY POSES .................................1393Muhammad Shahzad Cheema, Abdalrahman Eweiwi, University of Bonn, Germany; Christian Bauckhage, Fraunhofer Institute IAIS, Germany
TA-P4.7: SUPPORT TENSOR ACTION SPOTTING ................................................................................1397Irene Kotsia, Ioannis Patras, Queen Mary, University of London, United Kingdom
TA-P4.8: HUMAN ACTION CLASSIFICATION USING SURF BASED SPATIO-TEMPORAL ......1401CORRELATED DESCRIPTORSAznul Qalid Md Sabri, Jacques Boonaert, Stéphane Lecoeuche, Ecole des Mines de Douai, France; El Mustapha Mouaddib, Université de Picardie Jules Verne, France
TA-P4.9: SALIENCY-BASED SELECTION OF SPARSE DESCRIPTORS FOR ACTION ...............1405RECOGNITIONEleonora Vig, Harvard University, United States; Michael Dorr, Harvard Medical School, United States; David Cox, Harvard University, United States
TA-P4.10: UNSUPERVISED CLASSIFICATION OF EXTREME FACIAL EVENTS USING ...........1409ACTIVE APPEARANCE MODELS TRACKING FOR SIGN LANGUAGE VIDEOSEpameinondas Antonakos, Vassilis Pitsikalis, Isidoros Rodomagoulakis, Petros Maragos, National Technical University of Athens, Greece
TA-P4.11: RECOGNITION WITH RAW CANONICAL PHONETIC MOVEMENT AND ................1413HANDSHAPE SUBUNITS ON VIDEOS OF CONTINUOUS SIGN LANGUAGEStavros Theodorakis, Vassilis Pitsikalis, Isidoros Rodomagoulakis, Petros Maragos, National Technical University of Athens, Greece
TA-P4.12: RECURRENCE TEXTURES FOR HUMAN ACTIVITY RECOGNITION FROM ...........1417COMPRESSIVE CAMERASKuldeep Kulkarni, Pavan Turaga, Arizona State University, United States
TA-P4.13: NON-NEGATIVE SPARSE CODING FOR HUMAN ACTION RECOGNITION ..............1421Seyed Mohsen Amiri, Panos Nasiopoulos, Victor C.M. Leung, University of British Columbia, Canada
TA-P5: FACE RECOGNITION II
TA-P5.1: INPAINTING OF SPARSE OCCLUSION IN FACE RECOGNITION ...................................1425Rui Min, Jean-Luc Dugelay, Eurecom, France
TA-P5.2: FACE RECOGNITION USING AVERAGE INVARIANT FACTOR .....................................1429Zhongxuan Luo, Hao Sun, Xin Fan, Jielin Zhang, Dalian University of Technology, China
xlviii
TA-P5.3: SET-BASED LABEL PROPAGATION OF FACE IMAGES ...................................................1433Chao Xiong, Tae-Kyun Kim, Imperial College London, United Kingdom
TA-P5.4: TRANSDUCTIVE VIS-NIR FACE MATCHING .......................................................................1437Jun-Yong Zhu, Wei-Shi Zheng, Jianhuang Lai, Sun Yat-Sen University, China
TA-P5.5: PATTERNS OF WEBER MAGNITUDE AND ORIENTATION FOR FACE .......................1441RECOGNITIONBiao Wang, Weifeng Li, Tsinghua University, China; Zhimin Li, Shenzhen Municipal Public Security Bureau, China; Qingmin Liao, Tsinghua University, China
TA-P5.6: A SPARSE REPRESENTATION METHOD WITH MAXIMUM PROBABILITY OF .......1445PARTIAL RANKING FOR FACE RECOGNITIONYi-Haur Shiau, Chaur-Chin Chen, National Tsing Hua University, Taiwan
TA-P5.7: LOCAL LINE DERIVATIVE PATTERN FOR FACE RECOGNITION................................1449Zhichao Lian, Meng Joo Er, Nanyang Technological University, Singapore; Yang Cong, Chinese Academy of Sciences, China
TA-P5.8: MATCHING CROSS-RESOLUTION FACE IMAGES USING CO-TRANSFER ................1453LEARNINGHimanshu Bhatt, Richa Singh, Mayank Vatsa, IIIT Delhi, India; Nalini Ratha, IBM T.J. Watson Research Center, United States
TA-P5.9: PROBABILISTIC FUSION OF REGIONAL SCORES IN 3D FACE ....................................1457RECOGNITIONNesli Erdogmus, Lionel Daniel, Jean-Luc Dugelay, Eurecom, France
TA-P5.10: BEST VIEW SELECTION WITH GEOMETRIC FEATURE BASED FACE ....................1461RECOGNITIONFrancis Deboeverie, Ghent University, Belgium; Peter Veelaert, University College Ghent, Belgium; Wilfried Philips, Ghent University, Belgium
TA-P5.11: GRAPH DISCRIMINANT ANALYSIS ON MULTI-MANIFOLD (GDAMM): A ..............1465NOVEL SUPER-RESOLUTION METHOD FOR FACE RECOGNITIONJunjun Jiang, Ruimin Hu, Zhen Han, Kebin Huang, Tao Lu, Wuhan University, China
TA-P5.12: A SEARCH BASED APPROACH TO NON MAXIMUM SUPPRESSION IN FACE ........1469DETECTIONEkaterina Zaytseva, Jordi Vitrià, Computer Vision Center, Universitat de Barcelona, Spain
TA-P6: IMAGE & VIDEO QUALITY
TA-P6.1: SR-SIM: A FAST AND HIGH PERFORMANCE IQA INDEX BASED ON ..........................1473SPECTRAL RESIDUALLin Zhang, Hongyu Li, Tongji University, China
TA-P6.2: A COMPREHENSIVE EVALUATION OF FULL REFERENCE IMAGE QUALITY ........1477ASSESSMENT ALGORITHMSLin Zhang, Tongji University, China; Lei Zhang, Hong Kong Polytechnic University, Hong Kong SAR of China; Xuanqin Mou, Xi’an Jiaotong University, China; David Zhang, Hong Kong Polytechnic University, Hong Kong SAR of China
xlix
TA-P6.3: OBJECTIVE QUALITY ASSESSMENT FOR IMAGE SUPER-RESOLUTION: A ............1481NATURAL SCENE STATISTICS APPROACHHojatollah Yeganeh, Mohammad Rostami, Zhou Wang, University of Waterloo, Canada
TA-P6.4: CORRUPTED REFERENCE IMAGE QUALITY ASSESSMENT ..........................................1485Wu Cheng, Keigo Hirakawa, University of Dayton, United States
TA-P6.5: QUALITY ASSESSMENT FOR COLOR IMAGES WITH TUCKER ...................................1489DECOMPOSITIONCheng Cheng, Hanli Wang, Tongji University, China
TA-P6.6: A NEW OBJECT BASED QUALITY METRIC BASED ON SIFT AND SSIM .....................1493Marc Decombas, Thales / Telecom ParisTech, France; Frederic Dufaux, Telecom ParisTech, France; Erwann Renan, Thales, France; Beatrice Pesquet-Popescu, Telecom ParisTech, France; Francois Capman, Thales, France
TA-P6.7: REDUCED-REFERENCE QUALITY ASSESSMENT FOR RETARGETED .......................1497IMAGESWenjun Lu, Min Wu, University of Maryland, College Park, United States
TA-P6.8: A STRATEGY TO JOINTLY TEST IMAGE QUALITY ESTIMATORS .............................1501SUBJECTIVELYAmy Reibman, AT&T Labs-Research, United States
TA-P6.9: PERCEPTUAL QUALITY OF VIDEO WITH QUANTIZATION VARIATION : A ...........1505SUBJECTIVE STUDY AND ANALYTICAL MODELINGYen-Fu Ou, Huiqi Zeng, Yao Wang, Polytechnic Institute of New York University, United States
TA-P6.10: VIDEO QUALITY METRIC BASED ON FIXATION PREDICTION AND .......................1509FOVEAL IMAGINGJunyong You, Norwegian University of Science and Technology, Norway; Touradj Ebrahimi, Swiss Federal Institute of Technology, Lausanne, Switzerland; Andrew Perkis, Norwegian University of Science and Technology, Norway
TA-P6.11: OBJECTIVE ASSESSMENT OF THE IMPACT OF FRAME RATE ON VIDEO .............1513QUALITYAnna Ukhanova, Jari Korhonen, Søren Forchhammer, Technical University of Denmark, Denmark
TA-P7: MOTION ESTIMATION & TEMPORAL CODING
TA-P7.1: DECOUPLED COARSE-TO-FINE MATCHING AND NONLINEAR ..................................1517REGULARIZATION FOR EFFICIENT MOTION ESTIMATIONMariano Tepper, Guillermo Sapiro, University of Minnesota, United States
TA-P7.2: NON-LINEAR OBSERVATION EQUATION FOR MOTION ESTIMATION .....................1521Dominique Béréziat, UPMC, France; Isabelle Herlin, INRIA, France
TA-P7.3: AN OPTIMAL MOTION VECTOR REGULARIZATION METHOD USING .....................1525VARIANCE-DISTORTION CURVEHyungjun Lim, DongYoon Kim, Joonsung Choi, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea; SeungHo Park, Se Hyeok Park, Jae Hyun Kim, Samsung Electronics Co., Ltd., Republic of Korea; HyunWook Park, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
l
TA-P7.4: HARDWARE-AWARE MOTION ESTIMATION SEARCH ALGORITHM .......................1529DEVELOPMENT FOR HIGH-EFFICIENCY VIDEO CODING (HEVC) STANDARDMahmut E. Sinangil, Massachusetts Institute of Technology, United States; Vivienne Sze, Minhua Zhou, Texas Instruments Inc., United States; Anantha P. Chandrakasan, Massachusetts Institute of Technology, United States
TA-P7.5: MEMORY COST VS. CODING EFFICIENCY TRADE-OFFS FOR HEVC ........................1533MOTION ESTIMATION ENGINEMahmut E. Sinangil, Massachusetts Institute of Technology, United States; Vivienne Sze, Minhua Zhou, Texas Instruments Inc., United States; Anantha P. Chandrakasan, Massachusetts Institute of Technology, United States
TA-P7.6: A NEW CONSTRUCTION FOR MOTION AND SPEED CAPTURE WITH .......................1537CONICAL WAVELETSPatrice Brault, CNRS Centre National de la Recherche Scientifique, France; Jean-Pierre Antoine, Universite Catholique de Louvain, Belgium
TA-P7.7: ARITHMETIC EDGE CODING FOR ARBITRARILY SHAPED SUB-BLOCK .................1541MOTION PREDICTION IN DEPTH VIDEO COMPRESSIONIsmael Daribo, Gene Cheung, National Institute of Informatics, Japan; Dinei Florencio, Microsoft Research, United States
TA-P7.8: MULTI-DIRECTIONAL IMPLICIT WEIGHTED PREDICTION BASED ON ...................1545IMAGE CHARACTERISTICS OF REFERENCE PICTURES FOR INTER CODINGAkiyuki Tanizawa, Takeshi Chujoh, Tomoo Yamakage, Toshiba Corporation, Japan
TA-P7.9: MOTION VECTOR DERIVATION OF DEFORMABLE BLOCK .........................................1549Na Zhang, Xiaopeng Fan, Debin Zhao, Wen Gao, Harbin Institute of Technology, China
TA-P7.10: QUADTREE-BASED TEMPORAL TRAJECTORY FILTERING .......................................1553Marko Esche, Alexander Glantz, Andreas Krutz, Michael Tok, Thomas Sikora, Technische Universität Berlin, Germany
TA-P7.11: INTERLACED ASYMMETRIC SEARCH RANGE ASSIGNMENT FOR ..........................1557BIDIRECTIONAL MOTION ESTIMATIONJinjia Zhou, Dajiang Zhou, Satoshi Goto, Waseda University, Japan
TA-P7.12: HYBRID DISTRIBUTED VIDEO CODING WITH FRAME LEVEL CODING ................1561MODE SELECTIONChieh-Chuan Chiu, Shao-Yi Chien, National Taiwan University, Taiwan; Chia-Han Lee, Academia Sinica, Taiwan; V. Srinivasa Somayazulu, Yen-Kuang Chen, Intel Corporation, United States
TA-P8: SEGMENTATION
TA-P8.1: LEARNING GEODESIC CRF MODEL FOR IMAGE SEGMENTATION ...........................1565Lei Zhou, Yu Qiao, Jie Yang, Shanghai Jiao Tong University, China; Xiangjian He, University of Technology, Sydney, Australia
TA-P8.2: IMAGE ACTIVITY MEASURE (IAM) FOR SCREEN IMAGE SEGMENTATION ...........N/AHuan Yang, Weisi Lin, Chenwei Deng, Nanyang Technological University, Singapore
li
TA-P8.3: GEODESIC INTERACTIVE SEGMENTATION IN THE COLOR MONOGENIC ............1573SIGNAL FRAMEWORKGuillaume Demarcq, Explora Nova, France; Hoel Le Capitaine, University of Nantes, France; Michel Berthier, University of La Rochelle, France
TA-P8.4: CONTEXT-BASED ENERGY ESTIMATOR: APPLICATION TO OBJECT ......................1577SEGMENTATION ON THE TREE OF SHAPESYongchao Xu, Thierry Geraud, EPITA Research and Development Laboratory (LRDE), France; Laurent Najman, Universite Paris-Est, France
TA-P8.5: SEMI-GREEDY ADAPTIVE-THRESHOLD REGION MERGING VIA PATH ..................N/ASCANNINGGaurav Gupta, Alexandra Psarrou, University of Westminster, United Kingdom
TA-P8.6: SUPERVISED MULTISPECTRAL IMAGE SEGMENTATION WITH POWER ...............1585WATERSHEDSJohannes Jordan, Elli Angelopoulou, University of Erlangen-Nuremberg, Germany
TA-P8.7: ADAPTIVE PARALLAX CONTROL BASED ON 3D SCENE CHANGE ............................1589DETECTIONHanje Park, Hoonjae Lee, Sanghoon Sull, Korea University, Republic of Korea
TA-P8.8: HIERARCHICAL EVOLVING MEAN-SHIFT..........................................................................1593Milan Surkala, Karel Mozdren, Radovan Fusek, Eduard Sojka, Vysoka Skola Banska - Technicka Univezita Ostrava, Czech Republic
TA-P8.9: H-MEANS IMAGE SEGMENTATION TO IDENTIFY SOLAR THERMAL ......................1597FEATURESNathan Stein, Harvard University, United States; Vinay Kashyap, Harvard-Smithsonian, United States; Xiao-Li Meng, Harvard University, United States; David van Dyk, Imperial College London, United Kingdom
TP-L1: PEOPLE RE-IDENTIFICATION & TRACKING FROM MULTIPLE CAMERAS
TP-L1.1: PEOPLE RE-IDENTIFICATION AND TRACKING FROM MULTIPLE ............................1601CAMERAS: A REVIEWTiziana D’Orazio, Grazia Cicirelli, Institute of Intelligent Systems for Automation, Italy
TP-L1.2: MULTI-TARGET TRACKING BY DISCRIMINATIVE ANALYSIS ON .............................1605RIEMANNIAN MANIFOLDSlawomir Bak, Duc Phu Chau, Julien Badie, Etienne Corvee, Francois Bremond, Monique Thonnat, INRIA, France
TP-L1.3: AUTOMATIC DESCRIPTION OF OBJECT APPEARANCES IN A WIDE-AREA ............1609SURVEILLANCE SCENARIOLuis Teixeira, Faculdade de Engenharia, Universidade do Porto, Portugal; Pedro Carvalho, Jaime Cardoso, Luis Corte-Real, Universidade do Porto, Portugal
TP-L1.4: SCALABLE PEOPLE RE-IDENTIFICATION BASED ON A ONE-AGAINST-SOME ......1613CLASSIFICATION SCHEMEWilliam Robson Schwartz, Federal University of Minas Gerais, Brazil
lii
TP-L1.5: DENSE APPEARANCE MODELING AND EFFICIENT LEARNING OF CAMERA ........1617TRANSITIONS FOR PERSON RE-IDENTIFICATIONMartin Hirzer, Graz University of Technology, Austria; Csaba Beleznai, Austrian Institute of Technology, Austria; Martin Köstinger, Peter M. Roth, Horst Bischof, Graz University of Technology, Austria
TP-L1.6: COMMON-NEAR-NEIGHBOR ANALYSIS FOR PERSON RE-IDENTIFICATION..........1621Wei Li, Yang Wu, Masayuki Mukunoki, Michihiko Minoh, Kyoto University, Japan
TP-L1.7: EBE: ELASTIC BLOB ENSEMBLE FOR COARSE HUMAN TRACKING .........................1625Daniel Wesierski, Patrick Horain, Institut Mines-Telecom / Telecom SudParis, France; Zdzislaw Kowalczuk, Gdansk University of Technology, Poland
TP-L2: ROBUST VIDEO CODING
TP-L2.1: ENERGY-MINIMIZED WIRELESS VIDEO TRANSMISSIONS VIA SHARING ..............1629OF RETRANSMISSION LIMITSSeong-Ping Chuah, Zhenzhong Chen, Maodong Li, Yap-Peng Tan, Nanyang Technological University, Singapore
TP-L2.2: VIDEO ERROR CONCEALMENT VIA TOTAL VARIATION REGULARIZED ..............1633MATRIX COMPLETIONZhefei Yu, Zhangyang Wang, Zeng Hu, Houqiang Li, Qing Ling, University of Science and Technology of China, China
TP-L2.3: ADAPTIVE ERROR CONCEALMENT FOR MULTIPLE DESCRIPTION VIDEO ..........1637CODING USING MOTION VECTOR ANALYSISNeeraj Gadgil, Meilin Yang, Mary Comer, Edward Delp, Purdue University, United States
TP-L2.4: ERROR RESILIENT VIDEO CODING USING HYBRID HIERARCHICAL B ..................1641PICTURESWen-Jiin Tsai, Wan-Han Liu, National Chiao-Tung University, Taiwan
TP-L2.5: AN OPTIMAL METHOD FOR SEARCHING UEP PROFILES IN WIRELESS .................1645JPEG 2000 VIDEO TRANSMISSIONGiuseppe Baruffa, Fabrizio Frescura, Paolo Micanti, Barbara Villarini, University of Perugia, Italy
TP-L2.6: H.264/AVC VIDEO PACKET AGGREGATION AND UNEQUAL ERROR ........................1649PROTECTION FOR NOISY CHANNELSKashyap Kambhatla, University of California, San Diego, United States; Sunil Kumar, San Diego State University, United States; Pamela Cosman, University of California, San Diego, United States; John Matyjas, Air Force Research Laboratory, United States
TP-L2.7: REFERENCE FRAME SELECTION FOR LOSS-RESILIENT TEXTURE & .....................1653DEPTH MAP CODING IN MULTIVIEW VIDEO CONFERENCINGBruno Macchiavello, Camilo Dorea, Edson M. Hung, Universidade de Brasília, Brazil; Gene Cheung, National Institute of Informatics, Japan; Wai-Tian Tan, Hewlett-Packard Laboratories, United States
TP-L3: INPAINTING
TP-L3.1: A FOCUSS BASED METHOD FOR LOW RANK MATRIX RECOVERY ...........................1713Angshul Majumdar, Rabab Ward, Tyseer Aboulnasr, University of British Columbia, Canada
liii
TP-L3.2: RANK MINIMIZATION APPROACH TO IMAGE INPAINTING USING NULL ..............1717SPACE BASED ALTERNATING OPTIMIZATIONTomohiro Takahashi, Tokyo University of Science, Japan; Katsumi Konishi, Kogakuin University, Japan; Toshihiro Furukawa, Tokyo University of Science, Japan
TP-L3.3: DEPTH-GUIDED INPAINTING ALGORITHM FOR FREE-VIEWPOINT .........................1721VIDEOLingni Ma, Luat Do, Peter de With, Eindhoven University of Technology, Netherlands
TP-L3.4: IMAGE INPAINTING IN MICROMETEOROLOGICAL ANALYSIS ..................................1725Carlos Ramirez, Miguel Argaez, Aline Jaimes, Craig E. Tweedie, University of Texas at El Paso, United States
TP-L3.5: RECONSTRUCTING OCCLUDED REGIONS USING FAST WEIGHTED PCA ................1729Tomoki Hosoi, Sei Nagashima, Azbil Corporation, Japan; Koichi Ito, Takafumi Aoki, Tohoku University, Japan
TP-L3.6: MARKOV RANDOM FIELD BASED IMAGE INPAINTING WITH ....................................1733CONTEXT-AWARE LABEL SELECTIONTijana Ružic, Aleksandra Pižurica, Wilfried Philips, Ghent University, Belgium
TP-L3.7: EXAMPLAR-BASED VIDEO INPAINTING WITH MOTION-COMPENSATED ..............1737NEIGHBOR EMBEDDINGMounira Ebdelli, Christine Guillemot, Olivier Le Meur, INRIA, France
TP-L4: REGISTRATION
TP-L4.1: GATED CARDIAC SPECT USING DIFFERENT MOTION MODELS .................................1657Wenyuan Qi, Xiaofeng Niu, Yongyi Yang, Illinois Institute of Technology, United States
TP-L4.2: EFFICIENT IMAGE REGISTRATION USING FAST PRINCIPAL COMPONENT ..........1661ANALYSISParminder Singh Reel, Laurence S Dooley, Patrick Wong, The Open University, United Kingdom
TP-L4.3: A NEW NONRIGID REGISTRATION APPROACH FOR MOTION ...................................1665CORRECTION OF CARDIAC FIRST-PASS PERFUSION MRIFahmi Khalifa, Garth Beache, Ahmad Firjani, Karla Welch, University of Louisville, United States; Georgy Gimel’farb, University of Auckland, New Zealand; Ayman El-Baz, University of Louisville, United States
TP-L4.4: ROBUST AND EFFICIENT POINT REGISTRATION BASED ON CLUSTERS ................1669AND GENERALIZED RADIAL BASIS FUNCTIONS (C-GRBF)Huihui Xu, Jundong Liu, Ohio University, United States; Charles Smith, University of Kentucky, United States
TP-L4.5: DEFORMABLE REGISTRATION MODEL WITH LOCAL RIGIDITY ..............................1673PRESERVATION FOR RADIATION THERAPY OF LUNG TUMORChaojie Zheng, Xiuying Wang, University of Sydney, Australia; Jinhu Chen, Yong Yin, Shandong Tumor Hospital, Australia; Dagan Feng, University of Sydney, Australia
TP-L4.6: POSITION ESTIMATION OF MOVING LIVER LESION BASED ON ................................1677REGISTRATION BETWEEN 2D ULTRASOUND AND 4D MR IMAGESChi Jun Weon, Woo Hyun Nam, Duhgoon Lee, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea; Youngkyoo Hwang, Jung-Bae Kim, Won-Chul Bang, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea; Jong Beom Ra, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
liv
TP-L4.7: MULTI-RESOLUTION LC-MS IMAGES ALIGNMENT USING DYNAMIC .....................1681TIME WARPING AND KULLBACK-LEIBLER DISTANCEWilliam K. H. Wu, Albert C. S. Chung, Henry H. N. Lam, Hong Kong University of Science and Technology, Hong Kong SAR of China
TP-L5: HARDWARE IMPLEMENTATIONS
TP-L5.1: GPU ACCELERATION OF IMAGE CONVOLUTION USING .............................................1685SPATIALLY-VARYING KERNELSteven Hartung, James Cook University, Australia; Hemant Shukla, Lawrence Berkeley National Laboratory, United States; J. Patrick Miller, Hardin-Simmons University, United States; Carlton Pennypacker, University of California, Berkeley, United States
TP-L5.2: EFFICIENT FPGA ARCHITECTURE FOR ORIENTED 1-D OPENING AND ..................1689PATTERN SPECTRUMJan Bartovsky, Eva Dokladalova, ESIEE Paris, University Paris-Est, France; Petr Dokladal, Mines ParisTech, France; Mohamed Akil, ESIEE Paris, University Paris-Est, France
TP-L5.3: REAL-TIME BLOCK MATCHING MOTION ESTIMATION ONTO GPGPU ....................1693Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Cláudio Diniz, Bruno Zatt, Sergio Bampi, Federal University of Rio Grande do Sul, Brazil
TP-L5.4: GPU IMPLEMENTATION OF PHASE-BASED STEREO CORRESPONDENCE ..............1697AND ITS APPLICATIONMamoru Miura, Tohoku University, Japan; Kinya Fudano, NEC Software Tohoku, Ltd., Japan; Koichi Ito, Takafumi Aoki, Hiroyuki Takizawa, Hiroaki Kobayashi, Tohoku University, Japan
TP-L5.5: PARALLELIZATION OF VOXEL BASED MULTIVIEW STEREO FOR ...........................1701ARBITRARILY CONFIGURED VIEWPOINTSMasaru Fukushi, Yamaguchi University, Japan; Naoki Sekiguchi, Toru Abe, Tohoku University, Japan
TP-L5.6: A RIGOROUS AND EFFICIENT GPU IMPLEMENTATION OF LEVEL-SET .................1705SPARSE FIELD ALGORITHMFrancesca Galluzzo, Nicolò Speciale, University of Bologna, ARCES-DEIS, Italy; Olivier Bernard, University of Lyon,CREATIS, CNRS UMR5220, Inserm U1044, France
TP-L5.7: PARALLEL ACTIVE CONTOUR WITH LATTICE BOLTZMANN SCHEME ON ..........1709MODERN GPUXiuyu Sun, Zhiqiang Wang, George Chen, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
TP-P1: 3D, STEREO & DEPTH II
TP-P1.1: ACCURATE DEPTH-COLOR SCENE MODELING FOR 3D CONTENTS .........................1741GENERATION WITH LOW COST DEPTH CAMERASMassimo Camplani, Tomás Mantecón, Luis Salgado, Universidad Politécnica de Madrid, Spain
TP-P1.2: A ROBUST METHOD FOR ESTIMATING TWO-VIEW GEOMETRY ...............................N/AJiayi Ma, Ji Zhao, Huabing Zhou, Changcai Yang, Jinwen Tian, Huazhong University of Science and Technology, China
lv
TP-P1.3: NON-RIGID STRUCTURE FROM MOTION VIA SPARSE REPRESENTATION .............N/AKun Li, School of Computer Science and Technology, Tianjin University, China; Jingyu Yang, School of Electronic and Information Engineering, Tianjin University, China; Jianmin Jiang, School of Computer Science and Technology, Tianjin University, China
TP-P1.4: NON-RIGID STRUCTURE FROM MOTION WITH INCREMENTAL SHAPE .................1753PRIORLili Tao, Bogdan Matuszewski, Stephen Mein, University of Central Lancashire, United Kingdom
TP-P1.5: STUDENT’S T ROBUST BUNDLE ADJUSTMENT ALGORITHM .......................................1757Aleksandr Aravkin, University of British Columbia, Canada; Michael Styer, Stanford University, United States; Zachary Moratto, Ara Nefian, NASA, United States; Michael Broxton, Stanford University, United States
TP-P1.6: AUTOMATING 3D RECONSTRUCTION PIPELINE BY SURF-BASED ............................1761ALIGNMENTMaurício Pamplona, Leonardo Gomes, Olga Bellon, Luciano Silva, Universidade Federal do Paraná, Brazil
TP-P1.7: ROTATION UPDATE ON MANIFOLD FOR ROBUST NON-RIGID ...................................N/ASTRUCTURE FROM MOTIONChengchao Qu, Hua Gao, Hazim Kemal Ekenel, Karlsruhe Institute of Technology, Germany
TP-P1.8: DIRECT METHOD FOR SHAPE RECOVERY FROM POLARIZATION AND .................1769SHADINGAli Mahmoud, Moumen El-Melegy, Aly Farag, University of Louisville, United States
TP-P1.9: TUMINDOOR: AN EXTENSIVE IMAGE AND POINT CLOUD DATASET FOR .............1773VISUAL INDOOR LOCALIZATION AND MAPPINGRobert Huitl, Georg Schroth, Sebastian Hilsenbeck, Florian Schweiger, Eckehard Steinbach, Technische Universität München, Germany
TP-P1.10: PLANAR 3D MODELING OF BUILDING INTERIORS FROM POINT CLOUD .............1777DATAVictor Sanchez, Avideh Zakhor, University of California, Berkeley, United States
TP-P1.11: A NOVEL LEVEL SET FRAMEWORK FOR LOD2 BUILDING MODELING .................1781Bing Jia, Ye Zhang, Yushi Chen, Zhilu Wu, Harbin Institute of Technology, China
TP-P1.12: SHARP GEOMETRY RECONSTRUCTION OF BUILDING FACADES USING .............1785RANGE DATAEric Turner, Avideh Zakhor, University of California, Berkeley, United States
TP-P2: FACIAL IMAGE PROCESSING
TP-P2.1: 3D FACE RECONSTRUCTION IN A BINOCULAR PASSIVE STEREOSCOPIC .............1789SYSTEM USING FACE PROPERTIESAmel Aissaoui, Jean Martinet, Chaabane Djeraba, Université des Sciences et technologie de Lille, France
TP-P2.2: OCCLUSAL SURFACE RECONSTRUCTION OF HUMAN TEETH FROM A ..................1793SINGLE IMAGE BASED ON OBJECT AND SENSOR PHYSICAL CHARACTERISTICSAly Abdelrahim, Aly Farag, Shireen Elhabian, Eslam Mostafa, University of Louisville, United States; Wael Aboelmaaty, Mansoura University, United States
lvi
TP-P2.3: IMPROVING 3D FACE RECONSTRUCTION FROM A SINGLE IMAGE USING ...........1797HALF-FRONTAL FACE POSESMaurício Pamplona Segundo, Luciano Silva, Olga Bellon, Universidade Federal do Paraná, Brazil
TP-P2.4: FACE SYNTHESIS FROM A FRONTAL POSE IMAGE USING PARTIAL LEAST .........1801SQUARES AND B-SPLINESDalila Sánchez-Escobedo, Mario Castelán, Centro de Investigación y de Estudios Avanzados del I.P.N., Mexico
TP-P2.5: COMPARISON OF METHODS FOR SMILE DECEIT DETECTION BY ...........................1805TRAINING AU6 AND AU12 SIMULTANEOUSLYHong Liu, Pingping Wu, Peking University, China
TP-P2.6: A MARKOV POINT PROCESS MODEL FOR WRINKLES IN HUMAN FACES ...............1809Nazre Batool, Rama Chellappa, University of Maryland, College Park, United States
TP-P2.7: LOCAL NORMAL BINARY PATTERNS FOR 3D FACIAL ACTION UNIT ......................1813DETECTIONGeorgia Sandbach, Stefanos Zafeiriou, Imperial College London, United Kingdom; Maja Pantic, Imperial College London and University of Twente, United Kingdom
TP-P2.8: AUTOMATIC DETECTION OF NON-POSED FACIAL ACTION UNITS ...........................1817S. Mohammad Mavadati, Mohammad H. Mahoor, Kevin Bartlett, Philip Trinh, University of Denver, United States
TP-P2.9: AUTOMATIC LABEL TRANSFER OF LIP MOTION SEQUENCES BY ............................N/AMANIFOLD ALIGNMENTFengchun Huang, Yuru Pei, Hongbin Zha, Key Laboratory of Machine Perception(MOE), Peking University, China
TP-P2.10: ADAPTIVE APPEARANCE FACE TRACKING WITH ALIGNMENT FEEDBACKS .....1825Weiyuan Ni, Alice Caplier, Grenoble University, France
TP-P2.11: ROBUST EYELID TRACKING FOR FATIGUE DETECTION ............................................1829Fei Yang, Xiang Yu, Rutgers University, United States; Junzhou Huang, University of Texas at Arlington, United States; Peng Yang, Dimitris Metaxas, Rutgers University, United States
TP-P2.12: A MULTI-TEXTURE APPROACH FOR ESTIMATING IRIS POSITIONS IN .................1833THE EYE USING 2.5D ACTIVE APPEARANCE MODELSHanan Salam, Ecole Supérieure d’Electricité, France; Nicolas Stoiber, Dynamixyz, France; Renaud Seguier, Ecole Supérieure d’Electricité, France
TP-P2.13: FACE SKETCH RECOGNITION BY LOCAL RADON BINARY PATTERN: ..................1837LRBPHamed Kiani Galoogahi, Terence Sim, National University of Singapore, Singapore
TP-P2.14: FACECUT - A ROBUST APPROACH FOR FACIAL FEATURE SEGMENTATION .......1841Khoa Luu, Hoang Ngan Le, Keshav Seshadri, Marios Savvides, Carnegie Mellon University, United States
TP-P2.15: A NOVEL ENERGY BASED FILTER FOR CROSS-BLINK EYE DETECTION ...............1845T. Hoang Ngan Le, Khoa Luu, Utsav Prabhu, Marios Savvides, Carnegie Mellon University, United States
TP-P2.16: A NOVEL SEPARATING STRATEGY FOR FACE HALLUCINATION ............................N/ALiangchen Liu, Weihong Li, Shu Tang, Weiguo Gong, Chongqing University, China
lvii
TP-P3: FEATURE EXTRACTION & CLASSIFICATION I
TP-P3.1: HOW IS THE WEATHER: AUTOMATIC INFERENCE FROM IMAGES ..........................1853Zichong Chen, Feng Yang, Albrecht Lindner, Guillermo Barrenetxea, Martin Vetterli, Ecole Polytechnique Fédérale de Lausanne, Switzerland
TP-P3.2: CONTEXT-BASED TEXT DETECTION IN NATURAL SCENES .........................................1857Yuning Du, Genquan Duan, Haizhou Ai, Tsinghua University, China
TP-P3.3: RANDOM-SAMPLING-BASED SPATIAL-TEMPORAL FEATURE FOR ..........................1861CONSUMER VIDEO CONCEPT CLASSIFICATIONAnjun Wei, Yuru Pei, Hongbin Zha, Peking University, China
TP-P3.4: MULTI-SCALE SHARED FEATURES FOR CASCADE OBJECT DETECTION ...............1865Zhe Lin, Adobe Systems Incorporated, United States; Gang Hua, Stevens Institute of Technology, United States; Larry Davis, University of Maryland, United States
TP-P3.5: MINIMUM DESCRIPTION LENGTH ARC SPLINE APPROXIMATION OF ...................1869DIGITAL CURVESGeorg Maier, Florian Janda, Andreas Schindler, University of Passau, Germany
TP-P3.6: A NEW SINGULARITY INDEX ...................................................................................................1873Gautam Muralidhar, Alan C. Bovik, Mia Markey, University of Texas at Austin, United States
TP-P3.7: SCALAR IMAGE INTEREST POINT DETECTION AND DESCRIPTION BASED ..........1877ON DISCRETE MORSE THEORY AND GEOMETRIC DESCRIPTORSRicardo da Silva, University of Campinas, Brazil; William Robson Schwartz, Federal University of Minas Gerais, Brazil; Helio Pedrini, University of Campinas, Brazil
TP-P3.8: HIERARCHICAL OBJECT GROUPS FOR SCENE CLASSIFICATION .............................1881Amir Sadovnik, Tsuhan Chen, Cornell University, United States
TP-P3.9: AN IMPROVED BINARIZATION METHOD USING INTER- AND .....................................1885INTRA-BLOCK FEATURES FOR NATURAL IMAGESJufeng Yang, Kai Wang, Jiao Jiao, Jing Xu, Nankai University, China
TP-P3.10: A FAST ADAPTIVE BINARIZATION METHOD FOR COMPLEX SCENE .....................1889IMAGESJufeng Yang, Kai Wang, Jiaofeng Li, Jiao Jiao, Jing Xu, Nankai University, China
TP-P3.11: BOOSTING KERNEL COMBINATION FOR MULTI-CLASS IMAGE .............................1893CATEGORIZATIONAlexis Lechervy, Philippe-Henri Gosselin, ETIS, CNRS, ENSEA, Univ Cergy-Pontoise, France; Frédéric Precioso, I3S, France
TP-P3.12: AUTOMATIC VISUAL DICTIONARY GENERATION THROUGH .................................1897OPTIMUM-PATH FOREST CLUSTERINGLuis Afonso, Joao Papa, Luciene Papa, Aparecido Marana, UNESP, Brazil; Anderson Rocha, UNICAMP, Brazil
TP-P3.13: AN INTERPOLATION BASED APPROACH FOR LIGHTING VARIATION IN .............1901IMAGE RECOGNITIONVishnukumar Galigekere, Gutemberg Guerra-Filho, University of Texas at Arlington, United States
lviii
TP-P4: IMAGE & VIDEO RETRIEVAL I
TP-P4.1: MOTION RETRIVAL USING LOW-RANK DECOMPOSITION OF ...................................1905FUNDAMENTAL RATIOSNazim Ashraf, Chuan Sun, Hassan Foroosh, University of Central Florida, United States
TP-P4.2: EFFECTIVE NEAR-DUPLICATE IMAGE RETRIEVAL WITH IMAGE-SPECIFIC .......1909VISUAL PHRASE SELECTIONJiansong Chen, Bailan Feng, Lei Zhu, Peng Ding, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China
TP-P4.3: FEATURE MATCHING IN GROWING DATABASES ............................................................1913Bernardo Rodrigues Pires, Jose Moura, Carnegie Mellon University, United States
TP-P4.4: A ROBUST MULTIVARIATE RERANKING ALGORITHM FOR QUESTION .................1917ANSWERING ENRICHMENTYang Liu, Jie Liu, Dong Wang, Huawei Technologies Co., Ltd., China; Jian Cheng, Chinese Academy of Sciences, China
TP-P4.5: ONLINE KERNEL LEARNING FOR INTERACTIVE RETRIEVAL IN .............................1921DYNAMIC IMAGE DATABASESPhilippe-Henri Gosselin, CNRS, ENSEA, University of Cergy, France
TP-P4.6: LEARNING OPTIMAL DATA REPRESENTATION FOR CROSS-MEDIA .......................1925RETRIEVALHong Zhang, Li Chen, Wuhan University of Science and Technology, China
TP-P4.7: OBJECT RETRIVAL BASED ON VISUAL WORD PAIRS .....................................................1929Yuxin Ding, Bin Zhao, Qingzhen You, Guangren Chai, Harbin Institute of Technology Shenzhen Graduate School, China
TP-P4.8: LEARNING TO RERANK IMAGES WITH ENHANCED SPATIAL VERIFICATION ......1933Chang Xu, Yangxi Li, Chao Zhou, Chao Xu, Peking University, China
TP-P4.9: A NOVEL INDEX STRUCTURE FOR LARGE SCALE IMAGE DESCRIPTOR ...............1937SEARCHJiangbo Yuan, Xiuwen Liu, Florida State University, United States
TP-P4.10: RE-RANKING USING COMPRESSION-BASED DISTANCE MEASURE FOR ...............1941CONTENT-BASED COMMERCIAL PRODUCT IMAGE RETRIEVALLunshao Chai, Beijing University of Posts and Telecommunications, China; Zhen Qin, University of California, Riverside, United States; Honggang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, China; Christian Shelton, University of California, Riverside, United States
TP-P4.11: CONTENT-BASED SYNCHRONIZATION FOR MULTIPLE PHOTOS ...........................1945GALLERIESMattia Broilo, Giulia Boato, Francesco G. B. De Natale, University of Trento, Italy
TP-P4.12: CONTINUUM REGRESSION FOR CROSS-MODAL MULTIMEDIA ...............................1949RETRIEVALYongming Chen, Liang Wang, Wei Wang, Zhang Zhang, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
lix
TP-P4.13: CAPTURING SEMANTIC RELATIONSHIP AMONG IMAGES IN CLUSTERS ............1953FOR EFFICIENT CONTENT-BASED IMAGE RETRIEVALRobert Davis, Carleton College, United States; Zhongmiao Xiao, Xiaojun Qi, Utah State University, United States
TP-P5: HUMAN COMPUTER INTERFACE
TP-P5.1: TOUCHLESS HAND GESTURE UI WITH INSTANTANEOUS RESPONSES ....................1957Jun Haeng Lee, Paul K. J. Park, Chang-Woo Shin, Hyunsurk Ryu, Byung Chang Kang, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea; Tobi Delbruck, Institute of Neuroinformatics, University of Zurich and ETH, Switzerland
TP-P5.2: GAZE ESTIMATION USING LOCAL FEATURES AND NON-LINEAR ............................1961REGRESSIONFrancis Martinez, Andrea Carbone, Edwige Pissaloux, Université Pierre et Marie Curie (UPMC), France
TP-P5.3: CAMERA FREE 3-DIMENSIONAL VIRTUAL TOUCH DISPLAY WITH .........................1965MULTI-USER IDENTIFICATIONYi-Pai Huang, Cornell University, United States; Guo-Zhen Wang, Shu-Yi Huang, Ya-Hsiang Tai, National Chiao-Tung University, Taiwan; Tsu-Han Chen, Cornell University, United States
TP-P5.4: COMPARING USER EXPERIENCES IN 2D AND 3D VIDEOCONFERENCING ...............1969Sheila Hemami, Francis Ciaramello, Sean Chen, Nathan Drenkow, Dae Yeol Lee, Seonwoo Lee, Evan Levine, Adam McCann, Cornell University, United States
TP-P5.5: MODEL BASED 3D GAZE ESTIMATION FOR PROVISION OF VIRTUAL EYE ...........1973CONTACTWolfgang Waizenegger, Fraunhofer Heinrich-Hertz-Institute; Humboldt Unviersity, Germany; Nicole Atzpadin, Oliver Schreer, Ingo Feldmann, Fraunhofer Heinrich-Hertz-Institute, Germany; Peter Eisert, Fraunhofer Heinrich-Hertz-Institute; Humboldt Unviersity, Germany
TP-P5.6: STRUCTURE-GUIDED MANIFOLD LEARNING FOR VIDEO-BASED ............................1977MOTION ESTIMATIONMeng Ding, Guoliang Fan, Oklahoma State University, United States; Xin Zhang, South China University of Technology, China; Song Ge, Oklahoma State University, United States; Li-Shan Chou, University of Oregon, United States
TP-P5.7: MULTI HYPOTHESES BASED OBJECT TRACKING IN HCI ............................................1981ENVIRONMENTSSebastian Handrich, Ayoub Al-Hamadi, Otto-von-Guericke University Magdeburg, Germany
TP-P5.8: VIEW-INVARIANT MEASURE OF LINE CORRESPONDENCE AND ITS .......................1985APPLICATION IN PEOPLE LOCALIZATIONKuo-Hua Lo, Jen-Hui Chuang, National Chiao Tung University, Taiwan
TP-P5.9: BLUR KERNEL ESTIMATION TO IMPROVE RECOGNITION OF BLURRED ..............1989FACESChi Ho Chan, Josef Kittler, University of Surrey, United Kingdom
lx
TP-P6: BIOMEDICAL IMAGE SEGMENTATION
TP-P6.1: TOPOGRAPHIC REPRESENTATION BASED BREAST DENSITY ....................................1993SEGMENTATION FOR MAMMOGRAPHIC RISK ASSESSMENTZhili Chen, Aberystwyth University, United Kingdom; Erika Denton, Norfolk and Norwich University Hospital, United Kingdom; Reyer Zwiggelaar, Aberystwyth University, United Kingdom
TP-P6.2: REGION-BASED ACTIVE SURFACE MODELLING AND ALPHA MATTING FOR ......1997UNSUPERVISED TUMOUR SEGMENTATION IN PETZiming Zeng, Aberystwyth University, United Kingdom; Jue Wang, Adobe Systems, United States; Tony Shepherd, Turku University Hospital, Finland; Reyer Zwiggelaar, Aberystwyth University, United Kingdom
TP-P6.3: ON-LINE RE-TRAINING AND SEGMENTATION WITH REDUCTION OF THE ...........2001TRAINING SET: APPLICATION TO THE LEFT VENTRICLE DETECTION IN ULTRASOUND IMAGINGJacinto Nascimento, Gustavo Carneiro, ISR/IST, Portugal
TP-P6.4: IMAGE SEGMENTATION BY COMBINING THE STRENGTHS OF RELATIVE ...........2005FUZZY CONNECTEDNESS AND GRAPH CUTKrzysztof Ciesielski, West Virginia University, United States; Paulo Miranda, University of São Paulo (USP), Brazil; Jayaram Udupa, University of Pennsylvania, United States; Alexandre Falcão, University of Campinas (UNICAMP), Brazil
TP-P6.5: SEGMENTATION OF NEURAL STEM CELLS/NEUROSPHERES IN HIGH ...................2009CONTENT BRIGHTFIELD MICROSCOPY IMAGES USING LOCALIZED LEVEL SETSWei Xiong, Shue Ching Chia, Joo Hwee Lim, Institute for Infocomm Research, A*Star, Singapore; Hwee Kuan Lee, Bioinformatics Institute, Singapore; Sankaran Shvetha, Sohail Ahmed, Institute of Medical Biology, Singapore
TP-P6.6: A HYBRID ALGORITHM FOR AUTOMATIC HEART SEGMENTATION IN CT ...........2013ANGIOGRAPHYImen Melki, Université Paris-Est, Laboratoire d’Informatique Gaspard-Monge,Equipe A3SI, ESIEE Paris, France; Hugues Talbot, Jean Cousty, Université Paris-Est, Laboratoire d’Informatique Gaspard-Monge, France; Celine Pruvot, Jerome Knoplioch, Laurent Launay, General Electric Healthcare, France; Laurent Najman, Université Paris-Est, Laboratoire d’Informatique Gaspard-Monge, France
TP-P6.7: RETINAL VESSEL SEGMENTATION USING AVERAGE OF SYNTHETIC ....................2017EXACT FILTERS AND HESSIAN MATRIXWendeson Oliveira, Tsang Ing Ren, George D. C. Cavalcanti, Federal University of Pernambuco, Brazil
TP-P6.8: MULTIPLE-DOMAIN KNOWLEDGE BASED MRF MODEL FOR TUMOR ....................2021SEGMENTATION IN BREAST ULTRASOUND IMAGESMin Xian, Jianhua Huang, Yingtao Zhang, Xianglong Tang, Harbin Institute of Technology, China
TP-P6.9: COLORED MULTI-NEURON IMAGE PROCESSING FOR SEGMENTING .....................2025AND TRACING NEURAL CIRCUITSHao-Chiang Shao, Wei-Yun Cheng, Yung-Chang Chen, National Tsing Hua University, Taiwan; Wen-Liang Hwang, Academia Sinica, Taiwan
lxi
TP-P6.10: A NOVEL GAUSSIAN SCALE SPACE-BASED JOINT MGRF FRAMEWORK FOR .....2029PRECISE LUNG SEGMENTATIONBehnoush Abdollahi, Ahmed Soliman, A. C. Civelek, X.-F. Li, University of Louisville, United States; Georgy Gimel’farb, University of Auckland, New Zealand; Ayman El-Baz, University of Louisville, United States
TP-P6.11: ADAPTIVE ACTIVE-MASK IMAGE SEGMENTATION FOR QUANTITATIVE ...........2033CHARACTERIZATION OF MITOCHONDRIAL MORPHOLOGYKuan-Chieh Jackie Chen, Yiyi Yu, Ruiqin Li, Hao-Chih Lee, Ge Yang, Jelena Kovacevic, Carnegie Mellon University, United States
TP-P6.12: A VARIATIONAL MULTIPHASE MODEL FOR SIMULTANEOUS MR IMAGE ..........2037SEGMENTATION AND BIAS CORRECTIONHaili Zhang, Yunmei Chen, University of Florida, United States; Xiaojing Ye, Georgia Institute of Technology, United States
TP-P6.13: GRAPH-BASED OPTIMAL CROSS SECTION BOUNDARY FOR VESSEL ....................2041SEGMENTATION AND STENOSIS QUANTIFICATIONNing Zhu, Albert C. S. Chung, Hong Kong University of Science and Technology, Hong Kong SAR of China
TP-P6.14: AUTOMATIC SEGMENTATION OF CARDIOSYNCHRONOUS WAVEFORMS ..........2045USING CEPSTRAL ANALYSIS AND CONTINUOUS WAVELET TRANSFORMSChandrasekhar Bhagavatula, Aaron Jaech, Marios Savvides, Vijayakumar Bhagavatula, Carnegie Mellon University, United States; Robert Friedman, Noninvasive Medical Technologies, United States; Rebecca Blue, University of Texas at Austin, United States; Marc O Griofa, Noninvasive Medical Technologies, United States
TP-P7: RECONSTRUCTION
TP-P7.1: CROSS-VALIDATION AND PREDICTED RISK ESTIMATION FOR ................................2049NONLINEAR ITERATIVE REWEIGHTED LEAST-SQUARES MRI RECONSTRUCTIONSathish Ramani, Jon-Fredrik Nielsen, Jeffrey A. Fessler, University of Michigan, United States
TP-P7.2: RECONSTRUCTION OF PASSIVE MILLIMETER-WAVE IMAGES WITH ....................2053GRAPH CUTSMichel Sarkis, Lokesh Mani, Sony Deutschland GmbH, Germany
TP-P7.3: A NOVEL INTENSITY LIMITING APPROACH TO METAL ARTEFACT .......................2057REDUCTION IN 3D CT BAGGAGE IMAGERYAndre Mouton, Najla Megherbi, Greg Flitton, Suzanne Bizot, Toby Peter Breckon, Cranfield University, United Kingdom
TP-P7.4: IMAGE RECONSTRUCTION FROM A MANHATTAN GRID VIA PIECEWISE .............2061PLANE FITTING AND GAUSSIAN MARKOV RANDOM FIELDSMatthew Prelee, David Neuhoff, University of Michigan, United States; Thrasyvoulos Pappas, Northwestern University, United States
TP-P7.5: HIGHER-ORDER DENSITY CONSISTENCY POTENTIALS FOR DISCRETE ................2065TOMOGRAPHYJerome Plumat, Benoit Macq, University Catholique de Louvain, Belgium; Pushmeet Kohli, Microsoft Research Cambridge, United Kingdom
lxii
TP-P7.6: A VARIATIONAL BAYESIAN APPROACH FOR FREQUENCY DIVERSE ......................2069NON-LINEAR MICROWAVE IMAGINGHacheme Ayasso, Institut d’Astrophysique Spatiale (IAS), France; Bernard Duchene, Ali Mohammad-Djafari, Laboratoire des signaux et systèmes (L2S), France
TP-P7.7: QUANTITATIVE MICROWAVE TOMOGRAPHY FROM SPARSE ...................................2073MEASUREMENTS USING A ROBUST HUBER REGULARIZERFuning Bai, Aleksandra Pižurica, Sam Van Loocke, Ann Franchois, Daniël De Zutter, Wilfried Philips, Ghent University, Belgium
TP-P7.8: PARTIALLY PARALLEL MR IMAGE RECONSTRUCTION USING ................................2077SENSITIVITY ENCODINGMaryam Yashtini, William Hager, Yunmei Chen, University of Florida, United States; Xiaojing Ye, Geogia Institute of Technology, United States
TP-P7.9: TIME DOMAIN ELECTROMAGNETIC TOMOGRAPHY USING PROPAGATION .......2081AND BACKPROPAGATION METHODChengdong Dong, Yuanwei Jin, University of Maryland, Eastern Shore, United States; Enyue Lu, Salisbury University, United States
TP-P7.10: BEAM HARDENING-RESPECTING FLAT FIELD CORRECTION OF DIGITAL .........2085X-RAY DETECTORSYongjian Yu, Varian Medical Systems, United States; Jue Wang, Union College, United States
TP-P8: APPLICATIONS
TP-P8.1: COMPARING ASTRONOMICAL DATACUBES USING LEVEL-SET TOPOLOGY ........2089Erik Rosolowsky, Braden MacDonald, Jason Loeppky, University of British Columbia Okanagan, Canada
TP-P8.2: CHANGE DETECTION WITH SYNTHETIC APERTURE RADAR IMAGES BY .............2093WILCOXON STATISTIC LIKELIHOOD RATIO TESTVladimir A. Krylov, INRIA, France; Gabriele Moser, University of Genoa, Italy; Aurelie Voisin, INRIA, France; Sebastiano B. Serpico, University of Genoa, Italy; Josiane Zerubia, INRIA, France
TP-P8.3: BAYESIAN IMAGE SEPARATION WITH NATURAL IMAGE PRIOR ..............................2097Haichao Zhang, Yanning Zhang, Northwestern Polytechnical University, China
TP-P8.4: TEMPORAL MODULATION FOR COMPUTATIONAL VIDEO CROSS-TALK ..............2101REDUCTIONDookun Park, Stanford University, United States; Ramin Samadani, Kar-Han Tan, Dan Gelb, Hewlett-Packard Laboratories, United States
TP-P8.5: LOW COMPLEXITY CONTENT-AWARE IMAGE RETARGETING..................................2105Kairan Sun, Bo Yan, Yiqi Gao, Fudan University, China
TP-P8.6: LEARNING BASED ALPHA MATTING USING SUPPORT VECTOR ...............................2109REGRESSIONZhanpeng Zhang, Qingsong Zhu, Yaoqin Xie, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
lxiii
TP-P8.7: IMAGE COLORIZATION BASED ON THE MIXED L0/L1 NORM .....................................2113MINIMIZATIONKazunori Uruma, Tokyo University of Science, Japan; Katsumi Konishi, Kogakuin University, Japan; Tomohiro Takahashi, Toshihiro Furukawa, Tokyo University of Science, Japan
TP-P8.8: CONTENT-AWARE IMAGE RESIZING WITH SEAM SELECTION BASED ON ............2117GRADIENT VECTOR FLOWSebastiano Battiato, Giovanni Maria Farinella, Giovanni Puglisi, Daniele Ravì, University of Catania, Italy
TP-P8.9: BLOCK POISSON METHOD AND ITS APPLICATION TO LARGE SCALE ....................2121IMAGE EDITINGDewey H. Lee, Seok Bong Yoo, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea; Myungjin Choi, Korea Aerospace Research Institute, Republic of Korea; Jong Beom Ra, Junmo Kim, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
WA-L1: OBJECT IDENTIFICATION & RECOGNITION I
WA-L1.1: ROCK DETECTION VIA SUPERPIXEL GRAPH CUTS.......................................................2149Xiaojin Gong, Jilin Liu, Zhejiang University, China
WA-L1.2: OBJECT IDENTIFICATION BY USING ORTHONORMAL CIRCUS ..............................2153FUNCTIONS FROM THE TRACE TRANSFORMAndres Frias-Velazquez, Ghent University, Belgium; Carlos Armando Ortiz-Lopez, Universidad de Guanajuato, Mexico; Aleksandra Pižurica, Wilfried Philips, Ghent University, Belgium; Gustavo Cerda-Villafaña, Universidad de Guanajuato, Mexico
WA-L1.3: SEMI-SUPERVISED OBJECT RECOGNITION USING STRUCTURE .............................2157KERNELBotao Wang, Hongkai Xiong, Shanghai Jiao Tong University, China; Xiaoqian Jiang, University of California, San Diego, United States; Fan Ling, QUALCOMM Wireless Comm. Tech. Limited, China
WA-L1.4: WIDE BASELINE STEREO OBJECT MATCHING USING MINIMAL COST ................2161FLOW ALGORITHMShuqing Zeng, General Motors R&D Center, United States
WA-L1.5: OBJECT CLASSIFICATION WITH EFFICIENT GLOBAL SELF-SIMILARITY ...........2165DESCRIPTORS BASED ON SPARSE REPRESENTATIONSGuruprasad Somasundaram, Vassilios Morellas, Nikolaos Papanikolopoulos, University of Minnesota, United States
WA-L1.6: SUPERPIXEL LEVEL OBJECT RECOGNITION UNDER LOCAL LEARNING ............2169FRAMEWORKXuejiao Feng, Huchuan Lu, Lihe Zhang, Dalian University of Technology, China
WA-L1.7: TRANSDUCTIVE INFERENCE & KERNEL DESIGN FOR OBJECT CLASS .................2173SEGMENTATIONDinh-Phong Vo, Telecom ParisTech, France; Hichem Sahbi, CNRS TELECOM ParisTech, France
WA-L2: WATERMARKING & DATA HIDING
WA-L2.1: WAVELET BASED WATERMARKING ON 3D IRREGULAR MESHES ..........................2177Meha Hachani, Azza Ouled Zaid, Sahbi Bahroun, National Engineering School of Tunis, Tunisia
lxiv
WA-L2.2: A NEW PEE-BASED REVERSIBLE WATERMARKING ALGORITHM FOR ................2181COLOR IMAGEJian Li, Xiaolong Li, Bin Yang, Peking University, China
WA-L2.3: DIGITAL IMAGE WATERMARKING METHOD USING BETWEEN-CLASS ...............2185VARIANCEKazuki Yamato, Madoka Hasegawa, Utsunomiya University, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Shigeo Kato, Utsunomiya University, Japan
WA-L2.4: A FAST H.264 COMPRESSED DOMAIN WATERMARKING SCHEME WITH .............2189MINIMIZED PROPAGATION ERROR BASED ON MACRO-BLOCK DEPENDENCY ANALYSISJingteng Xue, State University of New York at Buffalo, United States; Jun Tian, Futurewei Technologies, Inc., United States; Chang Wen Chen, State University of New York at Buffalo, United States; Heather Yu, Futurewei Technologies, Inc., United States
WA-L2.5: RECONFIGURABLE SELF-EMBEDDING WITH HIGH QUALITY .................................2193RESTORATION UNDER EXTENSIVE TAMPERINGPawel Korus, Andrzej Dziech, AGH University of Science and Technology, Poland
WA-L2.6: WATERMARKING WITH LOW EMBEDDING DISTORTION AND ................................2197SELF-PROPAGATING RESTORATION CAPABILITIESSergio Bravo-Solorio, Chang-Tsun Li, University of Warwick, United Kingdom; Asoke Nandi, University of Liverpool, United Kingdom
WA-L2.7: OPTIMAL WATERMARK POWER AND HOST SAMPLES ALLOCATION ..................2201UNDER RANDOM GAIN ATTACKSanti Maity, Bengal Engineering and Science University, India; Claude Delpha, Universite Paris Sud XI, Supelec, France
WA-L3: HYPERSPECTRAL IMAGING
WA-L3.1: IMPROVING SPATIAL RESOLUTION FOR CHANG’E-1 IMAGERY USING ...............2125ARSIS CONCEPT AND PULSE COUPLED NEURAL NETWORKSBin Zou, Meicun Wang, Junping Zhang, Lamei Zhang, Ye Zhang, Harbin Institute of Technology, China
WA-L3.2: CLASSIFICATION IMPROVEMENT BASED ON NON-WHITE NOISE ..........................2129REDUCTION USING PARAFAC DECOMPOSITON FOR HYPERSPECTRAL IMAGESXuefeng Liu, Salah Bourennane, Caroline Fossati, Institut Fresnel, Ecole Centrale Marseille, France
WA-L3.3: FUSION OF HYPERSPECTRAL AND PANCHROMATIC IMAGES: A HYBRID ..........2133USE OF INDUSION AND NONLINEAR PCAGiorgio Licciardi, Grenoble Institute of Technology, France; Muhammad Murtaza Khan, National University of Sciences and Technology, Pakistan; Jocelyn Chanussot, Grenoble Institute of Technology, France
WA-L3.4: OPTIMAL SPECTRAL SENSITIVITY FUNCTIONS FOR A SINGLE-CAMERA ...........2137ONE-SHOT MULTISPECTRAL IMAGING SYSTEMYusuke Monno, Toshihiro Kitao, Masayuki Tanaka, Masatoshi Okutomi, Tokyo Institute of Technology, Japan
lxv
WA-L3.5: OPTIMIZED VECTOR BILATERAL FILTER FOR MULTISPECTRAL IMAGE ..........2141DENOISINGHonghong Peng, Rochester Institute of Technology, United States; Raghuveer Rao, Army Research Laboratory, United States; Sohail Dianat, Rochester Institute of Technology, United States
WA-L3.6: NONNEGATIVE MATRIX FACTORIZATION WITH DETERMINISTIC .......................2145ANNEALING FOR UNSUPERVISED UNMIXING OF HYPERSPECTRAL IMAGERYHonghong Peng, Rochester Institute of Technology, United States; Raghuveer Rao, Army Research Laboratory, United States; Sohail Dianat, Rochester Institute of Technology, United States
WA-L5: SUPER RESOLUTION
WA-L5.1: TEXTURE PRESERVING MULTI FRAME SUPER RESOLUTION WITH .....................2205SPATIALLY VARYING IMAGE PRIOREmre Turgay, Gozde Bozdagi Akar, Middle East Technical University, Turkey
WA-L5.2: IMAGE SUPER-RESOLUTION BY EXTREME LEARNING MACHINE ..........................2209Le An, Bir Bhanu, University of California, Riverside, United States
WA-L5.3: REGULARIZED ADAPTIVE SUPER-RESOLUTION USING KERNEL ...........................2213ESTIMATION-BASED EDGE RECONNECTION AND KERNEL ORIENTATION CONSTRAINTSJaehwan Jeon, Chung-Ang University, Republic of Korea; Jinhee Lee, NextChip, Republic of Korea; Eunsung Lee, Monson H Hayes, Joonki Paik, Chung-Ang University, Republic of Korea
WA-L5.4: DFT-BASED FAST SUPERRESOLUTION IMAGE RECONSTRUCTION USING ..........2217INLA APPROXIMATIONMarcelo Oliveira Camponez, Evandro Salles, Mário Sarcinelli-Filho, Federal University of Espírito Santo, Brazil
WA-L5.5: SUPER-RESOLUTION UTILIZING TOTAL VARIATION REGULARIZATION ...........2221AND A SHOCK FILTERMasaru Sakurai, Yasutaka Sakuta, Masashi Watanabe, Tomio Goto, Satoshi Hirano, Nagoya Institute of Technology, Japan
WA-L5.6: A FULLY ROBUST FRAMEWORK FOR MAP IMAGE SUPER-RESOLUTION .............2225Michalis Vrigkas, Christophoros Nikou, Lisimachos Kondi, University of Ioannina, Greece
WA-L5.7: VEHICLE LOGO SUPER-RESOLUTION BY CANONICAL CORRELATION ...............2229ANALYSISLe An, Ninad Thakoor, Bir Bhanu, University of California, Riverside, United States
WA-P1: STREAMING & TRANSMISSION
WA-P1.1: CROSS-ENTROPY BASED ANTENNA SELECTION FOR SCALABLE VIDEO .............2233STREAMING OVER MIMO WIRELESS NETWORKSChao Zhou, Xinggong Zhang, Zongming Guo, Peking University, China
WA-P1.2: A DISTRIBUTED QOS ROUTING ARCHITECTURE FOR SCALABLE VIDEO ............2237STREAMING OVER MULTI-DOMAIN OPENFLOW NETWORKSHilmi Enes Egilmez, Koc University, Turkey; Seyhan Civanlar, Argela Technologies, Turkey; Ahmet Murat Tekalp, Koc University, Turkey
lxvi
WA-P1.3: RD OPTIMIZED BITSTREAM EXTRACTION FOR H.264/SVC BASED VIDEO ...........2241STREAMINGRamanathan Palaniappan, Nikil Jayant, Georgia Institute of Technology, United States
WA-P1.4: OVERLAY OPTIMIZATION FOR PEER-TO-PEER SCALABLE VIDEO ........................2245STREAMINGLivio Lima, Marco Dalai, Pierangelo Migliorati, Riccardo Leonardi, University of Brescia, Italy
WA-P1.5: EFFICIENT REAL-TIME SIMILARITY DETECTION FOR VIDEO CACHING ............2249AND STREAMINGVictor K.Y. Wu, Independent, United States; Constantine Polychronopoulos, Bytemobile, Inc., United States
WA-P1.6: VARIABLE CHUNK SIZE AND ADAPTIVE SCHEDULING WINDOW FOR P2P .........2253STREAMING OF SCALABLE VIDEOCihat Goktug Gurler, Saadet Sedef Savas, Ahmet Murat Tekalp, Koc University, Turkey
WA-P1.7: EXPLOITING SOCIAL RELATIONSHIPS FOR FREE-RIDERS DETECTION ..............2257IN MINIMUM-DELAY P2P SCALABLE VIDEO STREAMINGStefano Asioli, Naeem Ramzan, Ebroul Izquierdo, Queen Mary, University of London, United Kingdom
WA-P1.8: CROSS-LAYER OPTIMIZATION OF A MULTIMEDIA STREAMING SYSTEM ..........2261VIA DYNAMIC PROGRAMMINGAlice Combernoux, Cyrile Delestre, L2S - CNRS - Supelec - Univ Paris-Sud, France; Nesrine Changuel, Bessem Sayadi, Alcatel-Lucent Bell-Labs France, France; Michel Kieffer, L2S - CNRS - Supelec - Univ Paris-Sud, France
WA-P1.9: SUBJECTIVE STUDY OF ADAPTIVE STREAMING STRATEGIES FOR 3DTV ............2265Jesús Gutiérrez, Universidad Politécnica de Madrid, Spain; Pablo Pérez, Alcatel-Lucent, Spain; Fernando Jaureguizar, Julián Cabrera, Narciso García, Universidad Politécnica de Madrid, Spain
WA-P1.10: ROBUST VIDEO COMMUNICATION USING RANDOM LINEAR NETWORK ..........2269CODING WITH PRE-CODING AND INTERLEAVINGChamitha de Alwis, Hemantha Kodikara Arachchi, Varuna De Silva, Anil Fernando, Ahmet Kondoz, University of Surrey, United Kingdom
WA-P1.11: EVALUATION OF ADAPTATION METHODS FOR MULTI-VIEW VIDEO ..................2273Saadet Sedef Savas, Cihat Goktug Gurler, Ahmet Murat Tekalp, Koc University, Turkey
WA-P1.12: A NOVEL JSCC SCHEME FOR SCALABLE VIDEO TRANSMISSION OVER .............2277MIMO SYSTEMSXinggong Zhang, Chao Zhou, Zongming Guo, Peking University, China
WA-P1.13: A QUALITY-OF-EXPERIENCE DRIVEN BIDDING GAME FOR UPLINK ...................2281VIDEO TRANSMISSION IN NEXT GENERATION MOBILE NETWORKSDamien Schroeder, Ali El Essaili, Eckehard Steinbach, Technische Universität München, Germany; Zoran Despotovic, Wolfgang Kellerer, Docomo Communications Laboratories Europe GmbH, Germany
WA-P1.14: DELIVERY METHOD FOR VIEWER-SPECIFIC PRIVACY PROTECTED ..................2285VIDEO USING DISCRETE WAVELET TRANSFORMNaoya Fukuoka, Yoshimichi Ito, Noboru Babaguchi, Osaka University, Japan
WA-P1.15: QUALITY OF EXPERIENCE AWARE ADAPTATION STRATEGIES FOR ..................2289MULTI-VIEW VIDEO OVER P2P NETWORKSCihat Goktug Gurler, Saadet Sedef Savas, Ahmet Murat Tekalp, Koc University, Turkey
lxvii
WA-P2: BIOMEDICAL SIGNALS & IMAGES
WA-P2.1: DETECTION OF NON-DYNAMIC BLEBBING SINGLE UNATTACHED ........................2293HUMAN EMBRYONIC STEM CELLSBenjamin Guan, Bir Bhanu, Prudence Talbot, Sabrina Lin, University of California, Riverside, United States
WA-P2.2: HYBRID BEAMFORMATION FOR VOLUMETRIC ULTRASOUND IMAGING ...........2297SCANNERS USING 2-D ARRAY TRANSDUCERSBae-Hyung Kim, Seungheun Lee, Youngil Kim, Kyungil Cho, Dongwook Kim, Jongkeun Song, Samsung Advanced Institute of Technology, Samsung Electronics Co., Republic of Korea
WA-P2.3: USING THE VECTORCARDIOGRAM TO REMOVE ECG NOISE....................................2301Steven Simske, Hewlett-Packard Laboratories, United States; Daniel Blakley, Brigham Young University, United States
WA-P2.4: MULTIPLE-INSTANCE LEARNING APPROACH FOR BREAST ULTRASOUND ........N/AIMAGE CLASSIFICATIONJianrui Ding, Harbin Institute of Technology, China; H.D. Cheng, Harbin Institute of Technology, China; Utah State University, United States; Jianhua Huang, Jiafeng Liu, Yingtao Zhang, Harbin Institute of Technology, China
WA-P2.5: BREAST ULTRASOUND IMAGE SEGMENTATION BASED ON .....................................N/ANEUTROSOPHIC L-MEANS CLUSTERINGJuan Shan, Heng-Da Cheng, Yuxuan Wang, Utah State University, United States
WA-P2.6: PAIN RECOGNITION AND INTENSITY RATING BASED ON COMPARATIVE ..........2313LEARNINGPhilipp Werner, Ayoub Al-Hamadi, Robert Niese, Otto-von-Guericke University Magdeburg, Germany
WA-P2.7: 4D VESSEL SEGMENTATION AND TRACKING IN ULTRASOUND ...............................2317Kedar Patwardhan, General Electric Global Research, United States; Yongjian Yu, InfiMed, Inc, United States; Sandeep Gupta, Aaron Dentinger, David Mills, General Electric Global Research, United States
WA-P2.8: PERFUSION QUANTIFICATION OF CONTRAST-ENHANCED ULTRASOUND .........2321IMAGES BASED ON COHERENCE ENHANCING DIFFUSION AND COMPETITIVE CLUSTERINGAdelaide Albouy-Kissi, Clermont Universite, Universite d’Auvergne, France; Stephane Cormier, Université de Reims-Champagne Ardenne, France; Francois Tranquart, Bracco Suisse SA, Switzerland
WA-P2.9: FREQUENCY-BASED LOCAL CONTENT ADAPTIVE FILTERING ...............................2325ALGORITHM FOR AUTOMATED PHOTORECEPTOR CELL DENSITY QUANTIFICATIONFatimah Mohammad, Rashid Ansari, Justin Wanek, Mahnaz Shahidi, University of Illinois at Chicago, United States
WA-P2.10: SIMULATION OF REALISTIC ECHOCARDIOGRAPHIC SEQUENCES FOR ............2329GROUND-TRUTH VALIDATION OF MOTION ESTIMATIONMartino Alessandrini, Hervé Liebgott, Denis Friboulet, Olivier Bernard, Centre de Recherche en Acquisition et Traitement de l’Image pour la Santé, France
lxviii
WA-P2.11: TEXTURE-BASED GRAPH REGULARIZATION PROCESS FOR 2D AND 3D ............2333ULTRASOUND IMAGE SEGMENTATIONCyrille Faucheux, Université François Rabelais de Tours, France; Julien Olivier, Romuald Bone, Ecole Nationale d’Ingénieurs du Val de Loire, France; Pascal Makris, Université François Rabelais de Tours, France
WA-P2.12: UNIFIED PROBABILISTIC FRAMEWORK FOR SIMULTANEOUS .............................1349DETECTION AND TRACKING OF MULTIPLE OBJECTS WITH APPLICATION TO BIO-IMAGE SEQUENCESKarthikeyan Shanmuga Vadivel, Diana Delibaltov, Utkarsh Gaur, University of California, Santa Barbara, United States; Mei Jiang, David Williams, University of California, Los Angeles, United States; Bangalore S. Manjunath, University of California, Santa Barbara, United States
WA-P3: FEATURE EXTRACTION & CLASSIFICATION II
WA-P3.1: AM-FM MODELS, PARTIAL HILBERT TRANSFORM, AND THE ..................................2337MONOGENIC SIGNALChuong Nguyen, Joseph Havlicek, University of Oklahoma, United States
WA-P3.2: ROBUST 2D LOCATION OF INTEREST POINTS BY ACCUMULATION .......................2341Jean-Philippe Tarel, Rachid Belaroussi, Institut français des sciences et technologies des transports, de l’aménagement et des réseaux, France
WA-P3.3: ALOHA: AN EFFICIENT BINARY DESCRIPTOR BASED ON HAAR FEATURES........2345Sajib Saha, Vincent Demoulin, Technicolor R&D France, France
WA-P3.4: TAG FILTERING BASED ON SIMILAR COMPATIBLE PRINCIPLE ..............................2349Xueming Qian, Xi’an Jiaotong University, China; Xian-Sheng Hua, Microsoft Research, United States; Xingsong Hou, Xi’an Jiaotong University, China
WA-P3.5: 3D (PSEUDO) ZERNIKE MOMENTS: FAST COMPUTATION VIA .................................2353SYMMETRY PROPERTIES OF SPHERICAL HARMONICS AND RECURSIVE RADIAL POLYNOMIALSMohammed Sadeq Al-Rawi, IEETA-University of Aveiro, Portugal
WA-P3.6: AH-SIFT: AUGMENTED HISTOGRAM BASED SIFT DESCRIPTOR ...............................2357Hao Tang, Feng Tang, Hewlett-Packard Laboratories, United States
WA-P3.7: NEAR-DUPLICATE KEYFRAME IDENTIFICATION BASED ON COLOR AND ..........2361AFFINE INVARIANT FEATURESYue Wang, Zujun Hou, Richard Chang, Teck Wee Chua, Institute for Infocomm Research, A*Star, Singapore
WA-P3.8: AFFINE CONSISTENCY GRAPHS FOR IMAGE REPRESENTATION AND ..................2365ELASTIC MATCHINGJacob Bentolila, Joseph M. Francos, Ben-Gurion University, Israel
WA-P3.9: INTEGRATIVE LABELING BASED STATISTICAL COLOR MODELS WITH .............2369APPLICATION TO SKIN DETECTIONMingzhi Dong, Liang Yin, Jun Guo, Weihong Deng, Weiran Xu, Beijing University of Posts and Telecommunications, China
WA-P3.10: FAST MULTIPLE HISTOGRAM COMPUTATION USING KRUSKAL’S ......................2373ALGORITHMRaoul Berger, Séverine Dubuisson, Christophe Gonzales, LIP6 - UPMC, France
lxix
WA-P3.11: EVALUATING THE QUALITY OF INDIVIDUAL SIFT FEATURES ...............................2377Hui Su, Wei-Hong Chuang, Wenjun Lu, Min Wu, University of Maryland, College Park, United States
WA-P3.12: REAL-TIME MOTION DETECTION BASED ON DISCRETE COSINE .........................2381TRANSFORMTae-Hyun Oh, Joon-Young Lee, In So Kweon, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
WA-P3.13: EMBEDDED DOUBLE MATCHING OF LOCAL DESCRIPTORS FOR A FAST ..........2385AUTOMATIC RECOGNITION OF REAL-WORLD OBJECTSTaghreed Alqaisi, Duke Gledhill, Joanna Olszewska, University of Huddersfield, United Kingdom
WA-P3.14: LOCATING BINARY FEATURES FOR KEYPOINT RECOGNITION USING ..............2389NONCOOPERATIVE GAMESVictor Fragoso, Matthew Turk, Joao Hespanha, University of California, Santa Barbara, United States
WA-P3.15: ON THE IMPLEMENTATION AND ANALYSIS OF EXPECTATION ............................2393MAXIMIZATION ALGORITHMS WITH STOPPING CRITERIONAndrew Ryan, Benjamin Mora, Swansea University, United Kingdom; Min Chen, Oxford University, United Kingdom
WA-P4: IMAGE & VIDEO RETRIEVAL II
WA-P4.1: EXPANDING DIAGNOSTICALLY LABELED DATASETS USING ...................................2397CONTENT-BASED IMAGE RETRIEVALAnne-Marie Giuca, Pomona College, United States; Kerry Seitz, Trinity University, United States; Jacob Furst, Daniela Raicu, DePaul University, United States
WA-P4.2: LEARNING A WEIGHTED SEMANTIC MANIFOLD FOR CONTENT-BASED .............2401IMAGE RETRIEVALRan Chang, Zhongmiao Xiao, Utah State University, United States; KokSheik Wong, University of Malaya, Malaysia; Xiaojun Qi, Utah State University, United States
WA-P4.3: SPARSITY BASED IMAGE RETRIEVAL USING RELEVANCE FEEDBACK .................2405Osman Günay, A. Enis Çetin, Bilkent University, Turkey
WA-P4.4: A NEW RANKING APPROACH AND A REVISITED RATIO TEST FOR ........................2409IMPROVING CONTENT-BASED IMAGE RETRIEVALMassimo Mauro, Riccardo Leonardi, University of Brescia, Italy
WA-P4.5: MULTIVARIATE TEXTURE RETRIEVAL USING THE KULLBACK-LEIBLER .........2413DIVERGENCE BETWEEN BIVARIATE GENERALIZED GAMMA TIMES AN UNIFORM DISTRIBUTIONLionel Bombrun, Yannick Berthoumieu, IMS Bordeaux, France
WA-P4.6: ROBUST SPARSE HASHING .....................................................................................................2417Anoop Cherian, Vassilios Morellas, Nikolaos Papanikolopoulos, University of Minnesota, United States
WA-P4.7: ROBUST TEXTURE RETRIEVAL OF COMPRESSED IMAGES .......................................2421David Edmundson, Gerald Schaefer, Loughborough University, United Kingdom; M. Emre Celebi, Louisiana State University at Shreveport, United States
lxx
WA-P4.8: COMPACT TENSOR BASED IMAGE REPRESENTATION FOR SIMILARITY ............2425SEARCHRomain Negrel, David Picard, Philippe-Henri Gosselin, ETIS, CNRS, ENSEA, Université Cergy-Pontoise, France
WA-P4.9: SEMANTIC-VISUAL CONCEPT RELATEDNESS AND CO-OCCURRENCES ...............2429FOR IMAGE RETRIEVALLinan Feng, Bir Bhanu, University of California, Riverside, United States
WA-P4.10: IMAGE RETRIEVAL BASED ON CLASSIFIED VECTOR QUANTIZATION ...............2433USING COLOR LOCAL THRESHOLDING CLASSIFIERHsin-Hui Chen, Jian-Jiun Ding, National Taiwan University, Taiwan
WA-P4.11: SIFT-BASED ELASTIC SPARSE CODING FOR IMAGE RETRIEVAL ..........................2437Jun Shi, Zhiguo Jiang, Hao Feng, Liguo Zhang, Beijing University of Aeronautics and Astronautics, China
WA-P4.12: RETRIEVAL OF OCCLUDED IMAGES USING DCT PHASE AND REGION ...............2441MERGINGPradyumna Ayyalasomayajula, Sara Grassi Pauletti, Farine Pierre-André, Ecole Polytechnique Fédérale de Lausanne, Switzerland
WA-P4.13: MULTI-STAGE VECTOR QUANTIZATION TOWARDS LOW BIT RATE ...................2445VISUAL SEARCHJie Chen, Ling-Yu Duan, Rongrong Ji, Zhe Wang, Peking University, China
WA-P5: TRANSFORMS FOR CODING
WA-P5.1: HYPERBOLIC SHEARLETS ......................................................................................................2449Glenn R. Easley, System Planning Corporation, United States; Demetrio Labate, University of Houston, United States; Vishal M. Patel, University of Maryland, United States
WA-P5.2: REVERSIBLE NON-EXPANSIVE SYMMETRIC CONVOLUTION FOR .........................2453M-CHANNEL LIFTING BASED LINEAR-PHASE FILTER BANKSTaizo Suzuki, Nihon University, Japan; Masaaki Ikehara, Keio University, Japan
WA-P5.3: IMPROVED DIRECTIONAL LIFTING-BASED DISCRETE WAVELET .........................2457TRANSFORM FOR LOW RESOLUTION MOVING OBJECT DETECTIONChih-Hsien Hsia, Jing-Ming Guo, National Taiwan University of Science and Technology, Taiwan
WA-P5.4: ADAPTIVE LIFTING SCHEMES WITH A GLOBAL L1 MINIMIZATION .....................2461TECHNIQUE FOR IMAGE CODINGMounir Kaaniche, Beatrice Pesquet-Popescu, Telecom ParisTech, France; Jean-Christophe Pesquet, Université Paris-Est, IGM and UMR-CNRS 8049,, France; Amel Benazza-Benyahia, SUP’COM, Université de Carthage, Tunisia
WA-P5.5: DYNAMICALLY RECONFIGURABLE DCT ARCHITECTURES BASED ON ................2465BITRATE, POWER, AND IMAGE QUALITY CONSIDERATIONSYuebing Jiang, Marios Pattichis, University of New Mexico, United States
WA-P5.6: SUPPRESSING FIRST ROW/COLUMN COEFFICIENTS OF DCT BLOCKS .................2469FOR LOSSLESS JPEG CODE REDUCTIONGopal Lakhani, Texas Tech University, United States
lxxi
WA-P5.7: ADAPTIVE DOWNSAMPLING IN HIGH ORDER OVERSAMPLED FILTER ...............2473BANKSMohsen Akbari, Fabrice Labeau, McGill University, Canada
WA-P5.8: DESIGN OF BIVARIATE SINC WAVELETS ..........................................................................2477Wenxing Ye, Alireza Entezari, University of Florida, United States
WA-P5.9: ALGORITHMS FOR TRANSFORM SELECTION IN MULTIPLE-TRANSFORM .........2481VIDEO COMPRESSIONXun Cai, Jae S. Lim, Massachusetts Institute of Technology, United States
WA-P5.10: LOW-COMPLEXITY ARBITRARILY SHAPED TRANSFORM AND .............................2485COEFFICIENT ORDERING METHOD BASED ON THE FOUR-POINT DCTGregory W. Cook, Ton Kalker, Futurewei Technologies, Inc., United States
WA-P5.11: ON SECONDARY TRANSFORMS FOR PREDICTION RESIDUAL.................................2489Ankur Saxena, Felix Fernandes, Samsung Telecommunications America, United States
WA-P6: IMAGE MODELING & CODING
WA-P6.1: THE RANDOM MONOGENIC SIGNAL ..................................................................................2493Sofia Olhede, University College London, United Kingdom; David Ramírez, Peter Schreier, Universität Paderborn, Germany
WA-P6.2: MODIFIED AKAIKE INFORMATION CRITERION FOR ESTIMATING THE ..............2497NUMBER OF COMPONENTS IN A PROBABILITY MIXTURE MODELAhmed Elnakib, University of Louisville, United States; Georgy Gimel’farb, University of Auckland, New Zealand; Tamer Inanc, Ayman El-Baz, University of Louisville, United States
WA-P6.3: ON THE JPEG 2000 ULTRAFAST MODE ...............................................................................2501Thomas Richter, Sven Simon, University of Stuttgart, Germany
WA-P6.4: GRADIENT PRESERVING QUANTIZATION ........................................................................2505Mina Makar, Haricharan Lakshman, Vijay Chandrasekhar, Bernd Girod, Stanford University, United States
WA-P6.5: WAVELET-BASED CONTENT-AWARE IMAGE CODING WITH ...................................2509RATE-DEPENDENT SEAM CARVINGTaichi Yoshida, Keio University, Japan; Yuichi Tanaka, Tokyo University of Agriculture and Technology, Japan; Madoka Hasegawa, Shigeo Kato, Utsunomiya University, Japan; Masaaki Ikehara, Keio University, Japan
WA-P6.6: AN ENHANCED BLOCK-BASED HIERARCHICAL IMAGE CODING SCHEME ..........2513Shuyuan Zhu, Bing Zeng, Hong Kong University of Science and Technology, Hong Kong SAR of China
WA-P6.7: HIERARCHICAL BILEVEL IMAGE COMPRESSION BASED ON CUTSET ..................2517SAMPLINGShengxin Zha, Thrasyvoulos Pappas, Northwestern University, United States; David Neuhoff, University of Michigan, United States
WA-P6.8: NEAREST-NEIGHBOR IMAGE MODEL ................................................................................N/AAliaksei Sandryhaila, Jose Moura, Carnegie Mellon University, United States
lxxii
WA-P6.9: STATISTICAL MODEL OF NATURAL IMAGES ..................................................................N/AThanh Hai Thai, Florent Retraint, Rémi Cogranne, Université de Technologie de Troyes, France
WA-P6.10: A BAYESIAN SPARSE INFERENCE APPROACH IN NEAR-FIELD WIDEBAND .......2529AEROACOUSTIC IMAGINGNing Chu, Laboratoire des signaux et systèmes (l2s), École Supérieure d’Électricité, France; Ali Mohammad-Djafari, L2S, CNRS-SUPELEC-UNIV PARIS SUD, France; José Picheral, SSE, SUPELEC, France
WA-P6.11: BAYESIAN TEXTURE MODEL SELECTION BY HARMONIC MEAN ..........................N/ACornelia Vacar, Jean-Francois Giovannelli, Universite de Bordeaux, France; Ana-Maria Roman, Technical University of Cluj-Napoca, Romania
WA-P6.12: LIFETIME MAP RECONSTRUCTION IN FREQUENCY-DOMAIN ...............................2537FLUORESCENCE LIFETIME IMAGING MICROSCOPYPhilippe Roudot, Charles Kervrann, INRIA Rennes - Bretagne Atlantique, France; François Waharte, Jérôme Boulanger, UMR 144 CNRS - PICT IBiSA - Institut Curie, France
WA-P7: SEGMENTATION VIA CONTOURS, LEVEL SETS & REGIONS
WA-P7.1: WASSERSTEIN ACTIVE CONTOURS ....................................................................................2541Gabriel Peyré, CNRS, France; Jalal Fadili, ENSICAEN, France; Julien Rabin, Université de Caen, France
WA-P7.2: FAST GLOBALLY SUPERVISED SEGMENTATION BY ACTIVE CONTOURS ...........2545WITH SHAPE AND TEXTURE DESCRIPTORSFoued Derraz, Medical College, France; Jean-Philippe Thiran, Signal Processing Laboratory 5, Switzerland; Abdelmalik Taleb-Ahmed, Medical College, France; Laurent Peyrodie, HEI, France; Gerard Forzy, Medical College, France
WA-P7.3: ACTIVE CONTOURS WITHOUT LEVEL SETS ....................................................................2549Romain Yildizoglu, Jean-Francois Aujol, Université Bordeaux 1, France; Nicolas Papadakis, Centre National de la Recherche, France
WA-P7.4: COUPLED CURVE EVOLUTION EQUATIONS FOR TERNARY IMAGES IN ..............2553SIDESCAN-SONAR IMAGES GUIDED BY LAMÉ CURVES FOR OBJECT RECOGNITIONBenjamin Lehmann, ATLAS ELEKTRONIK GmbH, Germany; Dieter Kraus, Hochschule Bremen, University of Applied Sciences, Germany; Anton Kummert, University of Wuppertal, Germany
WA-P7.5: MULTI-SCALE TENSOR VECTOR FIELD ACTIVE CONTOUR.......................................2557Abhishek Kumar, Alexander Wong, Paul Fieguth, David A. Clausi, University of Waterloo, Canada
WA-P7.6: DIRECTIONAL GEODESIC ACTIVE CONTOURS...............................................................2561Guillermo Gallego, José Ignacio Ronda, Universidad Politécnica de Madrid, Spain; Antonio Valdés, Universidad Complutense de Madrid, Spain
WA-P7.7: ENTROPY-BASED SPATIALLY-VARYING ADJUSTMENT OF ACTIVE ......................2565CONTOUR PARAMETERSEleftheria Mylona, Michalis Savelonas, Dimitris Maroulis, University of Athens, Greece
WA-P7.8: EXTERNAL FORCES FOR ACTIVE CONTOURS VIA MULTI-SCALE VECTOR ........2569FIELD CONVOLUTIONClare Yang, Scott T. Acton, University of Virginia, United States
lxxiii
WA-P7.9: LEVEL SET ESTIMATION FROM COMPRESSIVE MEASUREMENTS USING ...........2573BOX CONSTRAINED TOTAL VARIATION REGULARIZATIONAkshay Soni, Jarvis Haupt, University of Minnesota, Twin Cities, United States
WA-P7.10: SEMANTIC SEGMENTATION VIA SPARSE CODING OVER HIERARCHICAL .......2577REGIONSWenbin Zou, Kidiyo Kpalma, Joseph Ronsin, Université Européenne de Bretagne, France
WA-P7.11: LEARNING SCALE RANGES FOR THE EXTRACTION OF REGIONS OF .................2581INTERESTQi Li, Zachary Bessinger, Western Kentucky University, United States
WA-P7.12: FEATURE SPACE REGION GROWING ...............................................................................2585Chantal Revol-Muller, Thomas Grenier, Ting Li, Hugues Benoit-Cattin, CREATIS, CNRS UMR 5220, Inserm U1044, Univ. de Lyon 1, INSA-Lyon, France
WA-P8: EXPRESSION & EMOTION RECOGNITION
WA-P8.1: AUDIO-VISUAL EMOTION RECOGNITION USING BOLTZMANN ZIPPERS ..............2589Kun Lu, Yunde Jia, Beijing Institute of Technology, China
WA-P8.2: HUMAN VISION INSPIRED FRAMEWORK FOR FACIAL EXPRESSIONS ..................2593RECOGNITIONRizwan Ahmed Khan, Alexandre Meyer, Université Lyon 1, Laboratoire d’InfoRmatique en Image et Systèmes d’information, UMR5205, F-69622, France; Hubert Konik, Université Jean Monnet, Laboratoire Hubert Curien, UMR5516, 42000 Saint-Etienne, France; Saida Bouakaz, Université Lyon 1, Laboratoire d’InfoRmatique en Image et Systèmes d’information, UMR5205, F-69622, France
WA-P8.3: FUSION OF STATIC AND TEMPORAL PREDICTORS FOR UNCONSTRAINED ........2597FACIAL EXPRESSION RECOGNITIONRaymond Ptucha, Andreas Savakis, Rochester Institute of Technology, United States
WA-P8.4: LOCAL GRADIENT INCREASING PATTERN FOR FACIAL EXPRESSION .................2601RECOGNITIONLu Bing Zhou, Han Wang, Nanyang Technological University, Singapore
WA-P8.5: FACTORIZING SPEAKER, LEXICAL AND EMOTIONAL VARIABILITIES ................2605OBSERVED IN FACIAL EXPRESSIONSSoroosh Mariooryad, Carlos Busso, University of Texas at Dallas, United States
WA-P8.6: RECOGNITION OF FACE EXPRESSIONS USING LOCAL PRINCIPAL ........................2609TEXTURE PATTERNAdin Ramirez Rivera, Jorge A. Rojas Castillo, Oksam Chae, Kyung Hee University, Republic of Korea
WA-P8.7: FACIAL EXPRESSION RECOGNITION BASED ON LOCAL SIGN .................................2613DIRECTIONAL PATTERNJorge A. Rojas Castillo, Adin Ramirez Rivera, Oksam Chae, Kyung Hee University, Republic of Korea
WA-P8.8: A NEW INVARIANT REPRESENTATION OF FACIAL EXPRESSIONS : .......................2617DEFINITION AND APPLICATION TO BLENDED EXPRESSION RECOGNITIONCatherine Soladie, Supélec, France; Nicolas Stoiber, Dynamixyz, France; Renaud Seguier, Supélec, France
lxxiv
WA-P8.9: PERSON-SPECIFIC EXPRESSION RECOGNITION WITH TRANSFER .........................2621LEARNINGJixu Chen, Xiaoming Liu, Peter Tu, Amy Aragones, General Electric Global Research, United States
WA-P8.10: A BIOLOGICALLY INSPIRED APPROACH FOR FUSING FACIAL .............................2625EXPRESSION AND APPEARANCE FOR EMOTION RECOGNITIONAlbert Cruz, Bir Bhanu, University of California, Riverside, United States
WP-L1: RECENT ADVANCES IN CRYPTOGRAPHY & IMAGE PROCESSING
WP-L1.1: EMERGING CRYPTOGRAPHIC CHALLENGES IN IMAGE AND VIDEO ....................2629PROCESSINGWilliam Puech, University of Montpellier II, France; Zekeriya Erkin, Delft University of Technology, Netherlands; Mauro Barni, University of Siena, Italy; Shantanu Rane, Mitsubishi Electric Research Laboratories, United States; R(Inald) L. Lagendijk, Delft University of Technology, Netherlands
WP-L1.2: COMPLEXITY ANALYSIS OF THE KEY-DEPENDENT WAVELET PACKET .............2633TRANSFORM FOR JPEG2000 ENCRYPTIONThomas Stutz, Andreas Uhl, University of Salzburg, Austria
WP-L1.3: A NEW DESIGN OF MULTIPLE TRANSFORMS FOR PERCEPTUAL VIDEO .............2637ENCRYPTIONSiu-Kei Au Yeung, Bing Zeng, Hong Kong University of Science and Technology, Hong Kong SAR of China
WP-L1.4: REDUCED SELECTIVE ENCRYPTION OF INTRA AND INTER FRAMES OF .............2641H.264/AVC USING PSYCHOVISUAL METRICSLoïc Dubois, William Puech, LIRMM Laboratory, CNRS, University of Montpellier II, France; Jacques Blanc-Talon, DGA, France
WP-L1.5: EFFICIENT SELECTIVE ENCRYPTION WITH H.264/SVC CABAC ...............................2645BIN-STRINGSMamoona Asghar, Mohammed Ghanbari, Martin Fleury, Martin Reed, University of Essex, United Kingdom
WP-L1.6: AN ATTRIBUTE-BASED FRAMEWORK FOR PRIVACY PRESERVING IMAGE ........2649QUERYINGShantanu Rane, Wei Sun, Mitsubishi Electric Research Laboratories, United States
WP-L1.7: AN EFFICIENT PROTOCOL FOR PRIVATE IRIS-CODE MATCHING BY ...................2653MEANS OF GARBLED CIRCUITSYing Luo, University of Kentucky, United States; Tommaso Pignata, Riccardo Lazzeretti, University of Siena, Italy; Sen-ching Cheung, University of Kentucky, United States; Mauro Barni, University of Siena, Italy
WP-L1.8: FULLY HOMOMORPHIC FACES ............................................................................................2657Juan Ramon Troncoso-Pastoriza, Fernando Perez-Gonzalez, University of Vigo, Spain
WP-L2: ANALYSIS OF CROWDS
WP-L2.1: REAL-TIME ACCURATE CROWD COUNTING BASED ON RGB-D ...............................2685INFORMATIONHuiyuan Fu, Huadong Ma, Hongtian Xiao, Beijing University of Posts and Telecommunications, China
lxxv
WP-L2.2: ABNORMAL CROWD BEHAVIOR DETECTION BASED ON SOCIAL ...........................2689ATTRIBUTE-AWARE FORCE MODELYanhao Zhang, Harbin Institute of Technology, China; Lei Qin, Chinese Academy of Sciences, China; Hongxun Yao, Harbin Institute of Technology, China; Qingming Huang, Chinese Academy of Sciences, China
WP-L2.3: TEAM BEHAVIOR ANALYSIS IN SPORTS USING THE POISSON EQUATION ...........2693Cem Direkoglu, Noel E. O’Connor, Dublin City University, Ireland
WP-L2.4: TIMELY, ROBUST CROWD EVENT CHARACTERIZATION ...........................................2697Vagia Kaltsa, Aristotle University of Thessaloniki, Informatics and Telematics Institute, CERTH, Greece; Alexia Briassouli, Ioannis Kompatsiaris, Informatics and Telematics Institute, CERTH, Greece; Michael G. Strintzis, Aristotle University of Thessaloniki, Greece
WP-L2.5: REAL-TIME DETECTION OF ABNORMAL CROWD BEHAVIOR USING A ................2701MATRIX APPROXIMATION-BASED APPROACHLijun Wang, Ming Dong, Wayne State University, United States
WP-L2.6: ANOMALY DETECTION IN CROWDED SCENE VIA APPEARANCE AND ..................2705DYNAMICS JOINT MODELINGXiaobin Zhu, Jing Liu, Jinqiao Wang, Institute of Automation, Chinese Academy of Sciences, China; Yikai Fang, System Research Center, Nokia Research Center, China; Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, China
WP-L2.7: SMALL GROUP HUMAN ACTIVITY RECOGNITION ........................................................2709Yafeng Yin, Guang Yang, Jin Xu, Hong Man, Stevens Institute of Technology, United States
WP-L3: VIEW SYNTHESIS
WP-L3.1: DEPTH IMAGE-BASED RENDERING WITH SPATIO-TEMPORALLY ..........................2713CONSISTENT TEXTURE SYNTHESIS FOR 3-D VIDEO WITH GLOBAL MOTIONMartin Köppel, Technical University Berlin, Germany; Xi Wang, Dimitar Doshkov, Thomas Wiegand, Patrick Ndjiki-Nya, Fraunhofer Heinrich-Hertz-Institute, Germany
WP-L3.2: CONSISTENT VIEW SYNTHESIS IN INTERACTIVE MULTIVIEW ...............................2717IMAGINGThomas Maugey, Pascal Frossard, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Gene Cheung, National Institute of Informatics, Japan
WP-L3.3: NOVEL TEMPORAL DOMAIN HOLE FILLING BASED ON BACKGROUND ..............2721MODELING FOR VIEW SYNTHESISWenxiu Sun, Oscar C. Au, Lingfeng Xu, Yujun Li, Wei Hu, Hong Kong University of Science and Technology, Hong Kong SAR of China
WP-L3.4: A LOCAL DEPTH IMAGE ENHANCEMENT SCHEME FOR VIEW ................................2725SYNTHESISYongzhe Wang, Dong Tian, Anthony Vetro, Mitsubishi Electric Research Laboratories, United States
WP-L3.5: INTERACTIVE 2D-3D IMAGE CONVERSION FOR MOBILE DEVICES .........................2729Yagiz Aksoy, Ozan Sener, Aydin Alatan, Middle East Technical University, Turkey; Kemal Ugur, Nokia Research, Finland
lxxvi
WP-L3.6: STEREO MATCHING BASED ON IMAGE TRIANGULATION FOR VIEW ...................2733SYNTHESISGuilherme Fickel, Cláudio R. Jung, Federal University of Rio Grande do Sul, Brazil; Ramin Samadani, Tom Malzbender, Hewlett-Packard Laboratories, United States
WP-L3.7: DEPTH-ASSISTED NONLOCAL MEANS HOLE FILLING FOR NOVEL VIEW ............2737SYNTHESISKwok-Wai Hung, Wan-Chi Siu, Hong Kong Polytechnic University, Hong Kong SAR of China
WP-L5: REMOTE SENSING IMAGE ANALYSIS
WP-L5.1: INFRARED-VISIBLE IMAGE FUSION USING THE UNDECIMATED ............................2661WAVELET TRANSFORM WITH SPECTRAL FACTORIZATION AND TARGET EXTRACTIONAndreas Ellmauthaler, Eduardo A. B. da Silva, Universidade Federal do Rio de Janeiro, Brazil; Carla L. Pagliari, Instituto Militar de Engenharia, Brazil; Sergio R. Neves, Instituto de Pesquisas da Marinha, Brazil
WP-L5.2: UNSUPERVISED SPECTRAL MIXTURE ANALYSIS WITH HOPFIELD ........................2665NEURAL NETWORK FOR HYPERSPECTRAL IMAGESShaohui Mei, Mingyi He, Northwestern Polytechnical University, China; Zhiyong Wang, Dagan Feng, University of Sydney, Australia
WP-L5.3: PERFORMANCE EVALUATION OF CLUSTER-BASED HYPERSPECTRAL ................2669TARGET DETECTION ALGORITHMSMichael Pieper, Dimitris Manolakis, MIT Lincoln Laboratory, United States; Eric Truslow, Northeastern University, United States; Thomas Cooley, S. Lipson, Air Force Research Laboratory, United States
WP-L5.4: SIMULATION ANALYSIS OF SEA SURFACE CURRENT EXTRACTION FROM ........2673MICROWAVE NAUTICAL RADAR IMAGESWeimin Huang, Eric Gill, Memorial University, Canada
WP-L5.5: REDUCTION OF VIBRATION-INDUCED ARTIFACTS IN ................................................2677SYNTHETIC-APERTURE-RADAR IMAGERY USING THE FRACTIONAL FOURIER TRANSFORMQi Wang, Matthew Pepin, University of New Mexico, United States; Ralf Dunkel, GA-ASI, United States; Tom Atwood, Armin Doerry, Sandia National Laboratories, United States; Balu Santhanam, Walter Gerstle, Majeed Hayat, University of New Mexico, United States
WP-L5.6: HYPERSPECTRAL IMAGE ANALYSIS WITH PIECE-WISE CONVEX ..........................2681ENDMEMBER ESTIMATION AND SPECTRAL UNMIXINGAlina Zare, University of Missouri, United States; Ouiem Bchir, King Saud University, United States; Hichem Frigui, University of Louisville, United States; Paul Gader, University of Florida, United States
WP-P1: CAMERAS & IMAGING - POSTPROCESSING
WP-P1.1: MODELING PHOTO COMPOSITION AND ITS APPLICATION TO PHOTO ................2741RE-ARRANGEMENTJaesik Park, Joon-Young Lee, Yu-Wing Tai, In So Kweon, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
lxxvii
WP-P1.2: ANTI-GHOST OF DIFFERENTLY EXPOSED IMAGES WITH MOVING .......................2745OBJECTSZhengguo Li, Shiqian Wu, Zijian Zhu, Shoulie Xie, Susanto Rahardja, Institute for Infocomm Research, A*Star, Singapore
WP-P1.3: REAL TIME AUTOMATED TONE MAPPING SYSTEM FOR HDR VIDEO ....................N/AChris Kiser, University of New Mexico / Contrast Optical, United States; Erik Reinhard, University of Bristol & Max Planck Institute for Informatics, United Kingdom; Mike Tocci, Nora Tocci, Contrast Optical, United States
WP-P1.4: AESTHETIC COMPOSITION REPRESETATION FOR PORTRAIT .................................2753PHOTOGRAPHING RECOMMENDATIONYanhao Zhang, Xiaoshuai Sun, Hongxun Yao, Harbin Institute of Technology, China; Lei Qin, Qingming Huang, Chinese Academy of Sciences, China
WP-P1.5: HIGH DYNAMIC RANGE VIDEO BY SPATIALLY NON-REGULAR OPTICAL ...........2757FILTERINGMichael Schöberl, University of Erlangen-Nuremberg, Germany; Alexander Belz, Fraunhofer IIS, Germany; Jürgen Seiler, University of Erlangen-Nuremberg, Germany; Siegfried Foessel, Fraunhofer IIS, Germany; André Kaup, University of Erlangen-Nuremberg, Germany
WP-P1.6: MOVING CAMERA VIDEO STABILIZATION USING HOMOGRAPHY ........................2761CONSISTENCYYu-Feng Hsu, Cheng-Chuan Chou, Ming-Yu Shih, Industrial Technology Research Institute, Taiwan
WP-P1.7: A SELF-LEARNING APPROACH TO COLOR DEMOSAICKING VIA SUPPORT ........2765VECTOR REGRESSIONFang-Lin He, National Taiwan University of Science and Technology, Taiwan; Yu-Chiang Frank Wang, Academia Sinica, Taiwan; Kai-Lung Hua, National Taiwan University of Science and Technology, Taiwan
WP-P1.8: GRAPH-BASED REGULARIZATION FOR COLOR IMAGE DEMOSAICKING .............2769Chenhui Hu, Harvard University, United States; Lin Cheng, Trinity College, United States; Yue M. Lu, Harvard University, United States
WP-P1.9: 3-D MEASUREMENT OF OBJECTS IN WATER USING FISH-EYE STEREO ................2773CAMERATatsuya Naruse, Toru Kaneko, Shizuoka University, Japan; Atsushi Yamashita, Hajime Asama, University of Tokyo, Japan
WP-P1.10: STRUCTURED LIGHT WITH CODED APERTURE FOR WIDE RANGE 3D ................2777MEASUREMENTHiroshi Kawasaki, Yuuki Horita, Hiroki Morinaga, Yuuki Matugano, Satoshi Ono, Kagoshima University, Japan; Makoto Kimura, Yasuo Takane, Samsung Yokohama Research Institute, Co., Ltd., Japan
WP-P1.11: JOINT DEMOSAICKING AND DENOISING BY TOTAL VARIATION ..........................2781MINIMIZATIONLaurent Condat, Saleh Mosaddegh, GREYC, CNRS-ENSICAEN-Univ. Caen, France
WP-P1.12: NOISE AND DYNAMIC RANGE OPTIMAL COMPUTATIONAL IMAGING ................2785Kalpana Seshadrinathan, Intel Corporation, United States; Sung Hee Park, Stanford University, United States; Oscar Nestares, Intel Corporation, United States
lxxviii
WP-P1.13: AN EFFICIENT DEMOSAICING TECHNIQUE USING GEOMETRICAL .....................2789INFORMATIONAldo Maalouf, Mohamed-Chaker Larabi, XLIM-SIC, France; Sabine Susstrunk, Ecole Polytechnique Fédérale de Lausanne, Switzerland
WP-P1.14: POWER-CONSTRAINED BACKLIGHT SCALING AND CONTRAST ...........................2793ENHANCEMENT FOR TFT-LCD DISPLAYSChul Lee, Jin-Hwan Kim, Chulwoo Lee, Chang-Su Kim, Korea University, Republic of Korea
WP-P1.15: IMAGE DEPENDENT ENERGY-CONSTRAINED LOCAL BACKLIGHT .....................2797DIMMINGNino Burini, Ehsan Nadernejad, Jari Korhonen, Søren Forchhammer, Technical University of Denmark, Denmark; Xiaolin Wu, McMaster University, Canada
WP-P1.16: A PRIMAL-DUAL ALGORITHM FOR JOINT DEMOSAICKING AND .........................2801DECONVOLUTIONHiêp Luong, Bart Goossens, Jan Aelterman, Aleksandra Pižurica, Wilfried Philips, Ghent University, Belgium
WP-P2: IMAGE-BASED DIAGNOSIS
WP-P2.1: EARLY AGE-RELATED MACULAR DEGENERATION DETECTION BY FOCAL ......2805BIOLOGICALLY INSPIRED FEATUREJun Cheng, Damon Wing Kee Wong, Xiangang Cheng, Jiang Liu, Ngan Meng Tan, Institute for Infocomm Research, A*Star, Singapore; Mayuri Bhargava, Chui Ming Gemmy Cheung, Tien Yin Wong, Singapore Eye Research Institute, Singapore
WP-P2.2: AUTOMATED COLITIS DETECTION FROM ENDOSCOPIC BIOPSIES AS A ..............2809TISSUE SCREENING TOOL IN DIAGNOSTIC PATHOLOGYMichael McCann, Carnegie Mellon University, United States; Ramamurthy Bhagavatula, MIT Lincoln Laboratory, United States; Matthew Fickus, Air Force Institute of Technology, United States; John Ozolek, Children’s Hospital of Pittsburgh, United States; Jelena Kovacevic, Carnegie Mellon University, United States
WP-P2.3: DETECTION AND SEGMENTATION OF SPUTUM CELL FOR EARLY LUNG ............2813CANCER DETECTIONNaoufel Werghi, Khalifa University, United Arab Emirates; Christian Donner, Osnabrueck University, Germany; Fatma Taher, Hussain Al-Ahmad, Khalifa University, United Arab Emirates
WP-P2.4: MULTISCALE SUPERPIXEL CLASSIFICATION FOR TUMOR .......................................2817SEGMENTATION IN BREAST ULTRASOUND IMAGESZhihui Hao, Qiang Wang, Haibing Ren, Kuanhong Xu, Yeong Kyeong Seong, Jiyeun Kim, Samsung Advanced Institute of Technology, Samsung Electronics Co., China
WP-P2.5: REGION BASED STELLATE FEATURES FOR CLASSIFICATION OF ...........................2821MAMMOGRAPHIC SPICULATED LESIONS IN COMPUTER-AIDED DETECTIONDae Hoe Kim, Jae Young Choi, Yong Man Ro, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
WP-P2.6: SEMI-AUTOMATED TRACKING OF MUSCLE SATELLITE CELLS IN ........................2825BRIGHTFIELD MICROSCOPY VIDEOAnanda Chowdhury, Angshuman Paul, Jadavpur University, India; Filiz Bunyak, D.D.W. Cornelison, Kannappan Palaniappan, University of Missouri Columbia, United States
lxxix
WP-P2.7: OPTIC DISK LOCALIZATION USING L1 MINIMIZATION ...............................................2829Neelam Sinha, International Institute of Information Technology, India; Venkatesh Babu Radhakrishnan, Indian Institute of Science, India
WP-P2.8: QUANTITATIVE ASSESSMENT OF DIABETIC MACULAR EDEMA USING ...............2833FLUORESCEIN LEAKAGE MAPSEman Magdy, Nile University, Egypt; Owhofasa O Agbedia, Mohamed Ibrahim, Quan D Nguyen, Johns Hopkins University, United States; Ahmed S Fahmy, Nile University, Egypt
WP-P2.9: IMPROVING SVM CLASSIFIER WITH PRIOR KNOWLEDGE IN ..................................2837MICROCALCIFICATION DETECTIONYan Yang, Juan Wang, Yongyi Yang, Illinois Institute of Technology, United States
WP-P2.10: SIMULTANEOUS DETECTION OF PROMINENT POINTS ON BREAST .....................2841CANCER CONSERVATIVE TREATMENT IMAGESHélder P. Oliveira, Jaime S. Cardoso, Universidade do Porto, Portugal; André Magalhães, Faculdade de Medicina, Universidade do Porto, Portugal; Maria J. Cardoso, Champalimaud Cancer Center, Fundação Champalimaud, Portugal
WP-P2.11: OTITIS MEDIA VOCABULARY AND GRAMMAR .............................................................2845Anupama Kuruvilla, Jian Li, Pablo Hennings Yeomans, Carnegie Mellon University, United States; Pedro Quelhas, Universidade do Porto, Portugal; Nader Shaikh, Alejandro Hoberman, University of Pittsburgh School of Medicine, United States; Jelena Kovacevic, Carnegie Mellon University, United States
WP-P2.12: A NOVEL IMAGE-BASED APPROACH FOR EARLY DETECTION OF ........................2849PROSTATE CANCERAhmad Firjani, Fahmi Khalifa, Ahmed Elnakib, University of Louisville, United States; Georgy Gimel’farb, University of Auckland, New Zealand; Mohamed Abou El-Ghar, University of Mansoura, Egypt; Adel Elmaghraby, Ayman El-Baz, University of Louisville, United States
WP-P2.13: QUANTIFICATION OF PIGMENTATION IN HUMAN SKIN IMAGES ..........................2853Hao Gong, Michel Desvignes, GIPSA-LAB, Grenoble Institute of Technology, France
WP-P2.14: A NOVEL MAMMOGRAPHIC MASS DETECTION APPROACH TO ............................2857COMBINING SUPREVISED AND UNSUPREVISED DETECTION ALGORITHMSDae Hoe Kim, Jae Young Choi, Yong Man Ro, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea
WP-P3: ANNOTATION
WP-P3.1: RELATIVE FEATURES FOR PHOTO QUALITY ASSESSMENT .......................................2861Mei-Chen Yeh, Yu-Chen Cheng, National Taiwan Normal University, Taiwan
WP-P3.2: VIEW: VISUAL INFORMATION EXTRACTION WIDGET FOR IMPROVING .............2865CHART IMAGES ACCESSIBILITYJinglun Gao, Yin Zhou, Kenneth Barner, University of Delaware, United States
WP-P3.3: ACTIVE LEARNING FOR TAG RECOMMENDATION UTILIZING ON-LINE .............2869PHOTOS LACKING TAGSYajun Gao, Georgia Institute of Technology, United States; Baoxin Li, Arizona State University, United States
WP-P3.4: VISUAL SUMMARIZATION OF LANDMARKS VIA VIEWPOINT MODELING............2873Yao Xue, Xueming Qian, Xi’an Jiaotong University, China
lxxx
WP-P3.5: VIDEO CLASSIFICATION BASED ON SOCIAL ATTITUDES ............................................2877Ramya Srinivasan, Amit K Roy-Chowdhury, University of California, Riverside, United States
WP-P3.6: LEARNING SPARSE TAG PATTERNS FOR SOCIAL IMAGE CLASSIFICATION ........2881Jie Lin, School of Computer and Information Technology, Beijing Jiaotong University, China; Ling-Yu Duan, Peking University, China; Junsong Yuan, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Qingyong Li, Siwei Luo, School of Computer and Information Technology, Beijing Jiaotong University, China
WP-P3.7: WEAKLY SUPERVISED TOPIC GROUPING OF YOUTUBE SEARCH ...........................2885RESULTSLiujuan Cao, Harbin Engineering University, China; Rongrong Ji, Wei Liu, Columbia University, China; Yue Gao, Tsinghua University, China; Ling-Yu Duan, Peking University, China; Chaoguang Men, Harbin Engineering University, China
WP-P3.8: SEMIAUTOMATIC LABELING OF GENERIC OBJECTS FOR ENLARGING ...............2889ANNOTATED IMAGE DATABASESAlbert Torrent, University of Girona, Spain; Xavier Lladó, Universitat de Girona, Spain; Jordi Freixenet, University of Girona, Spain
WP-P3.9: GENERATING COHERENT NATURAL LANGUAGE ANNOTATIONS FOR .................2893VIDEO STREAMSMuhammad Usman Ghani Khan, University of Sheffield, United Kingdom; Lei Zhang, Harbin Engineering University, China; Yoshihiko Gotoh, University of Sheffield, United Kingdom
WP-P4: VIDEO CODING
WP-P4.1: IMPROVING PREDICTIVE VIDEO CODING PERFORMANCE WITH ..........................2897DECODER SIDE INFORMATIONXiem HoangVan, João Ascenso, Fernando Pereira, Instituto de Telecomunicações, Portugal
WP-P4.2: A NOVEL SCHEME FOR 4-D LIGHT-FIELD COMPRESSION BASED ON 3-D .............2901REPRESENTATION BY MULTI-FOCUS IMAGESTakashi Sakamoto, Tokyo University of Science, Japan; Kazuya Kodama, Research Organization of Information and Systems, Japan; Takayuki Hamamoto, Tokyo University of Science, Japan
WP-P4.3: ADAPTIVE POST-FILTERING BASED ON LOCAL BINARY PATTERNS ......................2905Ying Liu, Pattern Discovery Technologies, Canada; Dake He He, Research In Motion Ltd., Canada; Paul Fieguth, University of Waterloo, Canada
WP-P4.4: MAP-AIDED LOCALLY LINEAR EMBEDDING METHODS FOR IMAGE ....................2909PREDICTIONSafa Cherigui, Technicolor R&I, France; Christine Guillemot, INRIA, France; Dominique Thoreau, Philippe Guillotel, Patrick Pérez, Technicolor R&I, France
WP-P4.5: FEEDBACK-CHANNEL-FREE DISTRIBUTED VIDEO CODING WITH .........................N/ADYNAMIC SKIP-MODE THRESHOLDYuh-Jiun Wang, Szu-Lu Hsu, Teng-Yuan Cheng, National Taiwan University, Taiwan; Chia-Han Lee, Academia Sinica, Taiwan; Shao-Yi Chien, National Taiwan University, Taiwan
lxxxi
WP-P4.6: NONCAUSAL DIRECTIONAL INTRA PREDICTION: THEORETICAL ANALYSIS ....2917AND SIMULATIONYu Gao, Jie Liang, Simon Fraser University, Canada
WP-P4.7: A DSP-BASED SOLUTION TO INCREASE THE ENERGY EFFICIENCY OF ................2921REAL-TIME VIDEO ENCODERSOsman G. Sezer, Texas Instruments Inc., United States; M. Umut Demircin, Aselsan, Turkey; Minhua Zhou, Texas Instruments Inc., United States
WP-P4.8: ADAPTIVE DOWNSAMPLING FOR HIGH-DEFINITION VIDEO CODING ...................2925Jie Dong, Yan Ye, InterDigital Communications, United States
WP-P4.9: LINE-CAST: LINE-BASED SEMI-ANALOG BROADCASTING OF SATELLITE ..........N/AIMAGESXiulian Peng, University of Science and Technology of China, China; Jizheng Xu, Feng Wu, Microsoft Research Asia, China
WP-P4.10: INTRA TEXTURE PREDICTION BASED ON REPETITIVE PIXEL ...............................2933REPLENISHMENTKenichi Iwata, University of Tokyo/Renesas Electronics Corporation, Japan; Ryoji Hashimoto, Seiji Mochizuki, Renesas Electronics Corporation, Japan; Kiyoharu Aizawa, University of Tokyo, Japan
WP-P4.11: UNIFIED COMPLEXITY MODEL FOR H.264/AVC VIDEO PROCESSING ..................2937ON MOBILE PLATFORMXin Li, George Mason University, United States; Zhan Ma, Felix Fernandes, Samsung Telecommunications America, United States
WP-P5: REGISTRATION & STEREO MATCHING
WP-P5.1: IMAGE RELIGHTING AND MATCHING WITH ILLUMINATION ..................................2941INFORMATIONWei Guan, Suya You, Tanasai Sucontphunt, Ulrich Neumann, University of Southern California, United States
WP-P5.2: VOLUME-PRESERVING CORRECTION FOR IMAGE REGISTRATION ......................2945USING FREE-FORM DEFORMATIONSPeter Faltin, Kraisorn Chaisaowong, Til Aach, RWTH Aachen University, Germany
WP-P5.3: WEIGHTED LIKELIHOOD FUNCTION OF MULTIPLE STATISTICAL ........................2949PARAMETERS TO RETRIEVE 2D TRUS-MR SLICE CORRESPONDENCE FOR PROSTATE BIOPSYJhimli Mitra, Soumya Ghose, Désiré Sidibé, Université de Bourgogne, France; Arnau Oliver, Robert Martí, Xavier Lladó, Universitat de Girona, Spain; Joan C. Vilanova, Girona Magnetic Resonance Center, Spain; Josep Comet, Hospital Dr. Josep Trueta, Spain; Fabrice Meriaudeau, Université de Bourgogne, France
WP-P5.4: A BLIND DECONVOLUTION APPROACH FOR PSEUDO CT PREDICTION ................2953FROM MR IMAGE PAIRSMichael Hirsch, University College London, United Kingdom; Matthias Hofmann, Frederic Mantlik, Max Planck Institute for Intelligent Systems, Germany; Bernd Pichler, Laboratory for Preclinical Imaging and Imaging Technology, Germany; Bernhard Scholkopf, Michael Habeck, Max Planck Institute for Intelligent Systems, Germany
lxxxii
WP-P5.5: GLOBALLY OPTIMAL DISPLACEMENT FIELDS USING LOCAL TENSOR ...............2957METRICGustaf Johansson, Daniel Forsberg, Hans Knutsson, Linköping University, Sweden
WP-P5.6: DYNAMIC SUBSAMPLING FOR IMAGE REGISTRATION SPEEDUP USING .............2961THE MUTUAL INFORMATION VARIANCE ESTIMATEKoen Douterloigne, Jonas De Vylder, Wilfried Philips, Ghent University, Belgium
WP-P5.7: EFFICIENT SPATIO-TEMPORAL LOCAL STEREO MATCHING USING .....................2965INFORMATION PERMEABILITY FILTERINGCuong Cao Pham, Vinh Dinh Nguyen, Jae Wook Jeon, Sungkyunkwan University, Republic of Korea
WP-P5.8: ADAPTIVE TERNARY-DERIVATIVE PATTERN FOR DISPARITY ................................2969ENHANCEMENTVinh Dinh Nguyen, Thuy Tuong Nguyen, Dung Duc Nguyen, Jae Wook Jeon, Sungkyunkwan university, Republic of Korea
WP-P5.9: IMPROVING SEGMENT BASED STEREO MATCHING USING SURF KEY ..................2973POINTSGorkem Saygili, Laurens van der Maaten, Emile Hendriks, Delft University of Technology, Netherlands
WP-P5.10: WIDE-BASELINE STEREO MATCHING USING ASIFT AND POC .................................2977Jumpei Ishii, Shuji Sakai, Koichi Ito, Takafumi Aoki, Tohoku University, Japan
WP-P6: RENDERING
WP-P6.1: GENERATING PANORAMA IMAGE BY SYNTHESYZING MULTIPLE ........................2981HOMOGRAPHYSeongdo Kim, Youngjung Uh, Hyeran Byun, Yonsei University, Republic of Korea
WP-P6.2: PAINTERLY ANIMATION BY PROPAGATING STROKES VIA LAYERED ..................N/ADENSE CORRESPONDENCETao Lin, Bo Jiang, Liang Lin, Sun Yat-Sen University, China
WP-P6.3: RADIOMETRIC INVARIANT STEREO MATCHING BASED ON RELATIVE ...............2989GRADIENTSXiaozhou Zhou, Pierre Boulanger, University of Alberta, Canada
WP-P6.4: COMPACT REPRESENTATIONS OF STATIONARY DYNAMIC TEXTURES ...............2993Gui-Song Xia, Sira Ferradans, Gabriel Peyré, CEREMADE, CNRS, France; Jean-Francois Aujol, IMB, Bordeaux 1, France
WP-P6.5: A GRID BASED RESIZING FRAMEWORK VIA EFFECTIVELY COMBINING ............N/ACROPPING WITH WARPINGZhan Qu, Jinqiao Wang, Institute of Automation, Chinese Academy of Sciences, China; Min Xu, School of Computing and Communications, University of Technology, Australia; Hanqing Lu, Institute of Automation, Chinese Academy of Sciences, China
WP-P6.6: MULTI-LAYERED IMAGE RETARGETING..........................................................................3001Shiori Sugimoto, Shinya Shimizu, Hideaki Kimata, Akira Kojima, NTT Corporation, Japan
lxxxiii
WP-P6.7: MULTI-INSTANCE RENDERING BASED ON DYNAMIC DIFFERENTIAL ...................3005SURFACE PROPAGATIONChang Liu, Zhaoqiang Lai, Ming Dong, Jing Hua, Wayne State University, United States
WP-P6.8: LOCALLY LINEAR EMBEDDING BASED TEXTURE SYNTHESIS FOR .......................3009IMAGE PREDICTION AND ERROR CONCEALMENTMehmet Turkan, Christine Guillemot, INRIA, France
WP-P6.9: MODELING IMAGE IRRADIANCE UNDER NATURAL ILLUMINATION AND ...........3013ISOTROPIC SURFACE REFLECTANCEShireen Elhabian, Aly Farag, University of Louisville, United States
WP-P6.10: CONTENT-ADAPTIVE TEMPORAL CONSISTENCY ENHANCEMENT FOR .............3017DEPTH VIDEOHuanqiang Zeng, Kai-Kuang Ma, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
WP-P6.11: ON MODELING THE RENDERING ERROR IN 3D VIDEO...............................................3021Ngai-Man Cheung, Dong Tian, Anthony Vetro, Huifang Sun, Mitsubishi Electric Research Laboratories, United States
WP-P6.12: DISCRETIZATION EFFECTS IN THE FUNDAMENTAL MATRIX ................................3025COMPUTATIONGutemberg Guerra-Filho, University of Texas at Arlington, United States
WP-P7: RESTORATION
WP-P7.1: A PROJECTED GRADIENT ALGORITHM FOR IMAGE RESTORATION .....................3029UNDER HESSIAN MATRIX-NORM REGULARIZATIONStamatios Lefkimmiatis, Michael Unser, Swiss Federal Institute of Technology, Lausanne, Switzerland
WP-P7.2: MITIGATING THE EFFECTS OF ATMOSPHERIC DISTORTION USING .....................3033DT-CWT FUSIONNantheera Anantrasirichai, Alin Achim, David Bull, University of Bristol, United Kingdom; Nick Kingsbury, University of Cambridge, United Kingdom
WP-P7.3: SURE-LET IMAGE DECONVOLUTION USING MULTIPLE WIENER ...........................3037FILTERSFeng Xue, Chinese University of Hong Kong, Hong Kong SAR of China; Florian Luisier, Harvard University, United States; Thierry Blu, Chinese University of Hong Kong, Hong Kong SAR of China
WP-P7.4: MULTI-RESOLUTION APPROACH FOR BLIND DEBLURRING OF ..............................N/ANATURAL IMAGESMariana S. C. Almeida, Instituto de Telecomunicações, Portugal; André Abelha, Luís B. Almeida, Instituto de Telecomunicações, Instituto Superior Técnico, Portugal
WP-P7.5: AN EFFICIENT PROJECTED SUBGRADIENT ALGORITHM FOR BLIND ...................3045IMAGE DECONVOLUTION USING AN L1-TV COST FUNCTIONXia Wenyao, Hatzinakos Dimitrios, University of Toronto, Canada
lxxxiv
WP-P7.6: COMBINED NON-LOCAL AND MULTI-RESOLUTION SPARSITY PRIOR IN .............3049IMAGE RESTORATIONJan Aelterman, Bart Goossens, Hiêp Luong, Jonas De Vylder, Aleksandra Pižurica, Wilfried Philips, Ghent University, Belgium
WP-P7.7: UNBIASED RISK ESTIMATION FOR SPARSE ANALYSIS REGULARIZATION ..........3053Charles-Alban Deledalle, Samuel Vaiter, Gabriel Peyré, CEREMADE, CNRS-Paris-Dauphine, France; Jalal Fadili, GREYC, CNRS-ENSICAEN, France; Charles Dossal, IMB, CNRS-Bordeaux 1, France
WP-P7.8: VECTORIZED TOTAL VARIATION DEFINED BY WEIGHTED L INFINITY ..............3057NORM FOR UTILIZING INTER CHANNEL DEPENDENCYTakamichi Miyata, Yoshinori Sakai, Tokyo Institute of Technology, Japan
WP-P7.9: IMAGE RESTORATION USING NON-CIRCULANT SHIFT-INVARIANT ......................3061SYSTEM MODELSAntonios Matakos, Sathish Ramani, Jeffrey A. Fessler, University of Michigan, United States
WP-P7.10: IMPROVING RESTORATION OF MICROSCOPY IMAGES USING ..............................3065ITERATIVE PROTOTYPES AND A SEQUENCE OF SUPPORT CONSTRAINTSMoacir Ponti-Jr, Universidade de São Paulo, Brazil
WP-P7.11: A COMPARISON OF THE COMPUTATIONAL PERFORMANCE OF ...........................3069ITERATIVELY REWEIGHTED LEAST SQUARES AND ALTERNATING MINIMIZATION ALGORITHMS FOR L1 INVERSE PROBLEMSPaul Rodriguez, Pontificia Universidad Catolica del Peru, Peru; Brendt Wohlberg, Los Alamos National Laboratory, United States
WP-P7.12: IMAGE DECONVOLUTION VIA SUPERFAST INVERSION OF A CLASS OF .............3073TWO-LEVEL TOEPLITZ MATRICESChristopher Turnes, Doru Balcan, Justin Romberg, Georgia Institute of Technology, United States
WP-P7.13: A SPARSELAND MODEL FOR DEBLURRING IMAGES IN THE PRESENCE ............3077OF IMPULSE NOISEHaili Zhang, Yunmei Chen, University of Florida, United States
WP-P7.14: ROBUST ADAPTIVE WIENER FILTERING.........................................................................3081Ethan Anderes, University of California, Berkeley, United States
WP-P8: SCENE PROCESSSING
WP-P8.1: A CONTRARIO SHOT DETECTION ........................................................................................3085Pierre Hellier, Vincent Demoulin, Lionel Oisel, Patrick Pérez, Technicolor, France
WP-P8.2: MULTIMEDIA EVENT DETECTION USING GMM SUPERVECTORS AND .................3089SVMSYusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Tokyo Institute of Technology, Japan; Shunsuke Sato, Canon Inc., Japan
WP-P8.3: A NEW CONTEXT-SENSITIVE GRAMMARS LEARNING ALGORITHM AND ............3093ITS APPLICATION IN TRAJECTORY CLASSIFICATIONJing Huang, Dan Schonfeld, University of Illinois at Chicago, United States; Vikram Krishnamurthy, University of British Columbia, Canada
lxxxv
WP-P8.4: ONLINE ANOMALY DETECTION IN VIDEOS BY CLUSTERING DYNAMIC ..............3097EXEMPLARSJie Feng, Chao Zhang, Peking University, China; Pengwei Hao, Queen Mary, University of London, United Kingdom
WP-P8.5: REAL-TIME GLOBAL MOTION BLUR DETECTION..........................................................3101Karl Ni, MIT Lincoln Laboratory, United States; Zachary Sun, Boston University, United States; Nadya Bliss, MIT Lincoln Laboratory, United States
WP-P8.6: DECOMPOSING THE VIDEO EDITING STRUCTURE OF A TALK-SHOW ..................3105USING NONNEGATIVE MATRIX FACTORIZATIONSlim Essid, Telecom ParisTech, France; Cedric Fevotte, CNRS LTCI, France
WP-P8.7: A COMPARISON OF CLASSIFICATION APPROACHES FOR THREAT .......................3109DETECTION IN CT BASED BAGGAGE SCREENINGNajla Megherbi, Jiwan Han, Toby Peter Breckon, Greg Flitton, Cranfield University, United Kingdom
WP-P8.8: LEARNING DISCRIMINATIVE DICTIONARIES WITH PARTIALLY LABELED ........3113DATAAshish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa, University of Maryland, United States
WP-P8.9: SUPERVISED LOCAL SPARSE CODING OF SUB-IMAGE FEATURES FOR ................3117IMAGE RETRIEVALJayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Andreas Spanias, Arizona State University, United States
WP-P8.10: FEATURE CODING VIA VECTOR DIFFERENCE FOR IMAGE .....................................3121CLASSIFICATIONXin Zhao, University of Science and Technology of China, China; Yinan Yu, Yongzhen Huang, Kaiqi Huang, Tieniu Tan, Institute of Automation, Chinese Academy of Sciences, China
WP-P8.11: LEARNING A MAHALANOBIS DISTANCE METRIC VIA REGULARIZED LDA ......3125FOR SCENE RECOGNITIONMeng Wu, Jun Zhou, Jun Sun, Shanghai Jiao Tong University, China
WP-P8.12: CODEBOOK OPTIMIZATION USING WORD ACTIVATION FORCES FOR ..............3129SCENE CATEGORIZATIONQun Li, Beijing University of Posts and Telecommunications; University of California, Riverside, China; Honggang Zhang, Jun Guo, Beijing University of Posts and Telecommunications, China; Le An, Bir Bhanu, University of California, Riverside, United States
WP-P8.13: BEYOND LOCAL IMAGE FEATURES: SCENE CALSSIFICATION USING .................3133SUPERVISED SEMANTIC REPRESENTATIONChunjie Zhang, Graduate University of Chinese Academy of Sciences, China; Jing Liu, Chao Liang, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China; Jinhui Tang, School of Computer Science, Nanjing University of Science and Technology, China; Hanqing Lu, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
WP-P8.14: FUZZY ENCODING FOR IMAGE CLASSIFICATION USING .........................................3137GUSTAFSON-KESSEL ALGORITHMAshish Gupta, Richard Bowden, University of Surrey, United Kingdom
lxxxvi
WP-P8.15: FAST ONLINE INCREMENTAL APPROACH OF UNSEEN PLACE ...............................3141CLASSIFICATION USING DISJOINT-TEXT ATTRIBUTE PREDICTIONRapeeporn Pimup, Tokyo Institute of Technology, Japan; Aram Kawewong, Chiang Mai University, Thailand; Osamu Hasegawa, Tokyo Institute of Technology, Japan