DocumentCode :
2476981
Title :
Multiple description coding of predictively encoded sequences
Author :
Jagmohan, A. ; Ratakonda, Krishna
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
2002
fDate :
2002
Firstpage :
13
Lastpage :
22
Abstract :
We are concerned with multiple description coding of predictively encoded sequences at low rates/redundancies. The key problem to be solved is that of avoiding predictive mismatch. We propose an algorithm based on multiple description correlating transforms (MDCT), which avoids the problem of predictive mismatch while not increasing the number of transmitted coefficients. Under a general first-order, Gauss-Markov source model, carefully formulated to be applicable to the practically important case of video coding, we obtain closed-form expressions for the operational rate-distortion characteristics of the proposed algorithm and use these to optimize the algorithm encoding parameters. In the case of the residual-of-residuals technique, which is also based on MDCT, we show that incorporation of any redundancy between the transmitted descriptions is inherently suboptimal. Results show that the proposed algorithm significantly outperforms the residual-of-residuals technique at low rates.
Keywords :
Gaussian processes; Markov processes; correlation methods; rate distortion theory; sequences; source coding; transform coding; video coding; Gauss-Markov source mode; MDCT; closed-form expressions; encoding parameters; general first-order source model; low rate coding; low redundancy code; multiple description coding; multiple description correlating transforms; predictive mismatch; predictively encoded sequences; rate-distortion characteristics; residual-of-residuals technique; source coding; video coding; Chromium; Data compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2002. Proceedings. DCC 2002
ISSN :
1068-0314
Print_ISBN :
0-7695-1477-4
Type :
conf
DOI :
10.1109/DCC.2002.999939
Filename :
999939
Link To Document :
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