Title :
Robust predictive coding and the Wyner-Ziv problem
Author :
Sehgal, Anshul ; Ahuja, Narendra
Author_Institution :
Beckman Inst., Illinois Univ., Urbana, IL, USA
Abstract :
The problem of robust communication of predictive encoded video in a joint source-channel setting is addressed. Specifically, the problem of predictive mismatch, where there is a drift between the state of the encoder and the decoder is addressed as a variant of the Wyner-Ziv problem. A video encoding algorithm based on the H.26L video codec, which presents the propagation of error in predictively encoded video in the event of predictive mismatch (or drift) between the encoder and the decoder, is proposed. One of the main advantages of the proposed approach is that there is minimal loss in performance over the standard H.26L encoder during error-free transmission, while simultaneously allowing error recovery in the event of errors. Using turbo codes as coset codes, the performance of the proposed codec is evaluated and the efficacy of the proposed framework is demonstrated. The performance of the proposed approach can only improve with the use of superior coset codes.
Keywords :
combined source-channel coding; error detection; linear predictive coding; turbo codes; video codecs; video coding; H.26L encoder; Wyner-Ziv problem; error-free transmission; joint source-channel setting; minimal loss; predictive mismatch; robust communication problem; robust predictive coding; superior coset codes; turbo codes; video codecs; video encoding algorithm; Data compression; Predictive coding; Robustness;
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
Print_ISBN :
0-7695-1896-6
DOI :
10.1109/DCC.2003.1194001