Depth MAP distortion analysis for view rendering and depth coding

Authors:
Woo-Shik Kim;Antonio Ortega;PoLin Lai;Dong Tian;Cristina Gomila
Affiliations:
Signal and Image Processing Institute, Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA;Signal and Image Processing Institute, Ming Hsieh Dept. of Electrical Engineering, University of Southern California, Los Angeles, CA;Thomson Corporate Research, Princeton, NJ;Thomson Corporate Research, Princeton, NJ;Thomson Corporate Research, Princeton, NJ
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Video representations that support view synthesis based on depth maps, such as multiview plus depth (MVD), have been recently proposed, raising interest in efficient tools for depth map coding. In this paper, we derive a new distortion metric that takes into consideration camera parameters and global video characteristics in order to quantify the effect of lossy coding of depth maps on synthesized view quality. In addition, a new skip mode selection method is proposed based on local video characteristics. Experimental results with the proposed mode selection scheme show coding gains of up to 2 dB for the synthesized views, as well as better subjective quality.