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