Title :
Multiview Video Compression
Author :
Flierl, Markus ; Girod, Bernd
Author_Institution :
Stanford Univ., Stanford
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;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2007.905699
