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 :
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