DocumentCode :
3383579
Title :
Wyner-Ziv encoded predictive multiple descriptions
Author :
Jagmohan, Ashish ; Ahuja, Narendra
Author_Institution :
Beckman Inst., Illinois Univ., Urbana, IL, USA
fYear :
2003
fDate :
25-27 March 2003
Firstpage :
213
Lastpage :
222
Abstract :
The predictive multiple description coding problem can be posed as a variant of the well-known Wyner-Ziv side-information problem. Predictive MD coding in this framework (termed the WYZE-PMD) eliminates the problem of predictive mismatch without requiring restrictive channel assumptions or high latency. The performance of two-channel one-step predictive MD coding was analyzed within the WYZE-PMD framework. Achievable rate-distortion (R-D) regions were obtained for the problem of MD coding in the presence of correlated decoder side-information. These were used to obtain the operational R-D performance for predictive MD coding under certain restrictions. Practical code constructions were proposed within the WYZE-PMD framework. Performance comparisons between the proposed codes and conventional approaches were presented for communication of a first-order Gauss-Markov source over two erasure channels with independent failure probabilities. Results indicated that the proposed approach significantly out-performs conventional approaches in terms of R-D performance.
Keywords :
Gaussian processes; Markov processes; channel coding; prediction theory; rate distortion theory; source coding; PMD coding; R-D regions; WYZE-PMD framework; Wyner-Ziv side-information problem; code constructions; decoder side information; failure probabilities; first order Gauss-Markov source; predictive mismatch; predictive multiple description; rate distortion; restrictive channel assumptions; two erasure channels; Data compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
ISSN :
1068-0314
Print_ISBN :
0-7695-1896-6
Type :
conf
DOI :
10.1109/DCC.2003.1194012
Filename :
1194012
Link To Document :
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