Title :
Motion and Disparity Compensated Coding for Multiview Video
Author :
Flierl, Markus ; Mavlankar, Aditya ; Girod, Bernd
Author_Institution :
Stanford Univ., Stanford
Abstract :
We investigate the rate-distortion efficiency of motion and disparity compensated coding for multiview video. Disparity compensation exploits the correlation among the view sequences and motion compensation makes use of the temporal correlation within each view sequence. We define a matrix of pictures with N view sequences, each with K temporally successive pictures. For experimental coding purposes, a scheme based on H.264/AVC is devised. We assess the overall rate-distortion efficiency for matrices of pictures of various dimensions (N, K). Moreover, we discuss the impact of inaccurate disparity compensation within a matrix of pictures. Finally, we propose and discuss a theoretical model for multiview video coding that explains our experimental observations. Performance bounds are presented for high rates.
Keywords :
image motion analysis; image sequences; matrix algebra; video coding; disparity compensated coding; disparity compensation; motion compensated coding; multiview video coding; pictures matrix; rate-distortion efficiency; temporal correlation; view sequences; Motion and disparity compensated coding; Multi-view image sequences; motion and disparity compensated coding; multiview image sequences; video camera arrays;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2007.903780