Paper Info
Title
Motion and Disparity Compensated Coding for Multiview Video
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.
Year
DOI
Venue
2007
10.1109/TCSVT.2007.903780
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
Field
DocType
multiview video coding,experimental observation,multiview video,experimental coding purpose,view sequence,overall rate-distortion efficiency,motion compensation,disparity compensation,inaccurate disparity compensation,n view sequence,layout,tv
Signal processing,Computer vision,Pattern recognition,Computer science,Matrix (mathematics),Motion compensation,Image processing,Multiview Video Coding,Coding (social sciences),Correlation,Artificial intelligence,Rate–distortion theory
Journal
Volume
Issue
ISSN
17
11
1051-8215
Citations 
PageRank 
References 
53
2.91
22
Authors
3
Name
Order
Citations
PageRank
Markus Flierl127742.34
Aditya Mavlankar216012.69
Bernd Girod389881062.96