cvim tomoaki-3-4-7,8

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  • 1.Bag-of-Features (2) 7,8 @tomoaki_teshima 2011/Sep/04

2. L. Fei-Fei, R. Fergus and P. Perona.Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. IEEE. CVPR 2004, Workshop on Generative-Model Based Vision. 2004300px X 300px 3. BoW BoVW 4. SVM PLSA MKL 5.

  • Caltech-101/256 ( )
  • PASCAL Visual Object Classes Challenge (PASCAL)( )
  • MSRC (pixel )
  • TRECVID(video) -2009, 2010-

6. Caltech 101 (9K) MSRC (591) Caltech 256 (30K) TRECVID (40K) SUN09(12K) MSRC (591) PASCAL VOC(5K) 7.

  • Social Media
    • Flickr
    • Picasa
    • Youtube
  • Crowd sourcing

8.

  • 80M K-means OK
  • Microsoft Research 20

9.

  • Bag-of-features
  • BoF
    • SVM PLSA MKL