DocumentCode
986436
Title
Multiview Video Compression
Author
Flierl, Markus ; Girod, Bernd
Author_Institution
Stanford Univ., Stanford
Volume
24
Issue
6
fYear
2007
Firstpage
66
Lastpage
76
Abstract
Due to the vast raw bit rate of multiview video, efficient compression techniques are essential for 3D scene communication. As the video data originate from the same scene, the inherent similarities of the multiview imagery are exploited for efficient compression. These similarities can be classified into two types, inter-view similarity between adjacent camera views and temporal similarity between temporally successive images of each video.
Keywords
Internet; data compression; multimedia communication; three-dimensional television; video cameras; video coding; video on demand; 3D TV; 3D scene communication; Internet; content delivery networks; live broadcast; multicast scenarios; multimedia distribution; multiview video compression; peer-to-peer networks; point-to-point communication; video cameras; video on demand; Cameras; Image coding; Image quality; Layout; Motion compensation; Robustness; Shape; Transmission line matrix methods; Video compression; Video on demand;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2007.905699
Filename
4388081
Link To Document