Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
Wyner-Ziv Coding for Video: Applications to Compression and Error Resilience
DCC '03 Proceedings of the Conference on Data Compression
Wyner-Ziv coding of video: an error-resilient compression framework
IEEE Transactions on Multimedia
Highly scalable video compression with scalable motion coding
IEEE Transactions on Image Processing
Rate allocation for robust video streaming based on distributed video coding
Image Communication
Expected distortion of dct-coefficients in video streaming over unreliable channel
VLBV'05 Proceedings of the 9th international conference on Visual Content Processing and Representation
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Predictive video codecs such as MPEG and H.26x are very susceptible to prediction mismatch between encoder and decoder or "drift" when there are packet losses, leading to a significant reduction in the decoded quality. In this paper, we propose a method to reduce the drift in these codecs by sending extra information over a side-channel. Using principles from distributed source coding, we send another description of the video sequence (at a lower rate) over the side-channel which can correct for errors in the decoded frame and thereby mitigate the drift. Simulation results using our techniques show significant gains in performance over conventional error protection schemes such as Forward Error Correction codes under reasonable latency constraints.