Title :
Predictive multiple description coding using coset codes
Author :
Jagmohan, A. ; Sehgal, A. ; Ahuja, N.
Author_Institution :
Illinois Univ., Urbana, IL, USA
Abstract :
Multiple Description (MD) coding of predictively coded sources is of practical interest in several multimedia applications such as redundant storage of video/audio data, and real-time video/audio telephony. A key problem associated with predictive MD coding is the occurrence of predictive mismatch. In the present paper, we pose the problem of predictive MD coding as a variant of the Wyner-Ziv decoder side-in formation problem. We propose an approach based on the use of coset codes for predictive MD coding, which avoids predictive mismatch without requiring restrictive channel assumptions or high latency. We specifically consider two-channel predictive MD coding of a first-order Gauss-Markov process. Results indicate that the proposed approach significantly out-performs alternative approaches in terms of rate-distortion performance.
Keywords :
decoding; multimedia communication; source coding; Wyner-Ziv decoder side-information problem; coset codes; first-order Gauss-Markov process; latency; multimedia applications; predictive mismatch; predictive multiple description coding; rate-distortion performance; restrictive channel assumptions; Decoding; Degradation; Delay; Gaussian processes; Predictive coding; Predictive encoding; Propagation losses; Rate-distortion; Streaming media; Telephony;
Conference_Titel :
Communication Systems, 2002. ICCS 2002. The 8th International Conference on
Print_ISBN :
0-7803-7510-6
DOI :
10.1109/ICCS.2002.1183223