cad/graphics 2013, hong kong an image-space energy-saving visualization scheme for oled displays...
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CAD/Graphics 2013, Hong Kong
An Image-space Energy-saving Visualization Scheme for OLED Displays
Haidong Chen1, Ji Wang2, Weifeng Chen3, Huamin Qu4, Wei Chen1
1Zhejiang University, CHINA, 2Virginia Tech, U.S., 3Zhejiang University of Finance & Economics, CHINA,
4Hong Kong Universityof Science and Technology, HONGKONG
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Background
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LCD Display OLED Display• High-intensity backlight• Consume a constant energy
• Self-emissive• Energy consumption is
dependent on the shown content
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Current Energy Reduction Techniques
• Device-level – Dynamic voltage scaling [Shin et al. 2011]
• Context-aware Dimming – Tracking user interactions and behaviors
[Moshnyaga et al. 2005, Betts-LaCroix 2010]• Color Remapping– Changing color [Chuang et al. 2009, Wang et al.
2012, Dong et al. 2012]
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Neglect the issue of perceptual quality loss
Not feasible to many applications
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Our Contributions• An adaptive color dimming scheme– Energy reduction– Minimization of perceptual quality loss
• A GPU-friendly visual saliency computation algorithm
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Two Observations• Dimming remains an effective energy saving
scheme• Perceptual quality loss can be remedied by
explicit highlighting visual salient features
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Our ApproachStep1: Suppress undesired details (Abstraction)
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Solved with the bilateral grid data structure [Chen et al. 2007]
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Our ApproachStep2: Compute edge-oriented saliency map
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Visually salient feature detector:
Saliency map:
S (p) = (1− τ) Md(p) + τMc(p)
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Our ApproachStep3: Dimming
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Energy-saving result
Input
AbstractedSaliency map
Dimming function:
Preservation of details Global luminance
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Experiments• 3D volumetric data visualization
α=0.65 β=0.75
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Original Simulated uniform dimming16.1% energy reduction
Our result17.9% energy reduction
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Experiments• 2D geo visualization
α=0.75 β=0.5
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Original Our result642.2% energy reduction
Simulated uniform dimming63.7% energy reduction
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Experiments• Performance– Collected from a PC with NV GTX580, Intel Core2
Duo3.0GHz CPU, 4GB host memory
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User Study• 24 Participants– Age 22-29; 9 females, 15 males; 4 undergraduates,
20 graduate students
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User Study• Tasks– [T1] Visual Search• Identify “street map” in the maps processed with three
schemes (NC: normal color scheme; SGD: our saliency guided color scheme; UD: simulated uniform dimming scheme )• 8 participants for each scheme• 2 trials for each participants
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Given street map
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User Study• Tasks– [T2] Preference Ranking• Criterion: clarity, local contrast, blurriness, energy
consumption• Rank each image with 1st, 2nd, 3rd
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User Study• Result analysis– Preference ranking for Geo-Vis application
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User Study• Result analysis– Preference ranking for volumetric data vis
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Conclusions• Introduce a novel saliency-guided color
dimming scheme for OLED displays– simultaneous saving energy consumption and
improving perceptual quality los issue• A preliminary user study to testify the
acceptance of our method
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Acknowledgements• This work is partially supported by the NSF of
China (61003193), the National High Technology Research and Development Program of China (2012AA12090), the Major Program of National Natural Science Foundation of China (61232012), and the National Natural Science Foundation of China (81172124).
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