DocumentCode
1122379
Title
PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder
Author
Puri, Rohit ; Majumdar, Abhik ; Ramchandran, Kannan
Author_Institution
Univ. of California, Berkeley
Volume
16
Issue
10
fYear
2007
Firstpage
2436
Lastpage
2448
Abstract
We describe PRISM, a video coding paradigm based on the principles of lossy distributed compression (also called source coding with side information or Wyner-Ziv coding) from multiuser information theory. PRISM represents a major departure from conventional video coding architectures (e.g., the MPEGx, H.26x families) that are based on motion-compensated predictive coding, with the goal of addressing some of their architectural limitations. PRISM allows for two key architectural enhancements: (1) inbuilt robustness to "drift" between encoder and decoder and (2) the feasibility of a flexible distribution of computational complexity between encoder and decoder. Specifically, PRISM enables transfer of the computationally expensive video encoder motion-search module to the video decoder. Based on this capability, we consider an instance of PRISM corresponding to a near reversal in codec complexities with respect to today\´s codecs (leading to a novel light encoder and heavy decoder paradigm), in this paper. We present encouraging preliminary results on real-world video sequences, particularly in the realm of transmission losses, where PRISM exhibits the characteristic of rapid recovery, in contrast to contemporary codecs. This renders PRISM as an attractive candidate for wireless video applications.
Keywords
computational complexity; data compression; decoding; image sequences; motion compensation; motion estimation; radio networks; source coding; video coding; PRISM; Wyner-Ziv coding; computational complexity; lossy distributed compression; motion estimation; motion-compensation; multiuser information theory; predictive coding; source coding; video coding; video decoder; video sequence; wireless video application; Codecs; Computer architecture; Decoding; Information theory; Motion estimation; Predictive coding; Robustness; Source coding; Transform coding; Video coding; Distributed source coding; distributed video coding; robust video coding; wireless video; Algorithms; Artificial Intelligence; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Motion; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2007.904949
Filename
4303151
Link To Document