Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding

Multiple description coding (MDC) with side information (SI) at the receiver is particularly relevant for robust transmission in sensor networks where correlated data is being transmitted to a common receiver, as well as for robust video compression. The rate-distortion region for this problem has b...

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Main Authors: Béatrice Pesquet-Popescu, Christine Guillemot, Olivier Crave
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2009/170924
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spelling doaj-ab7e66b991ea42f5a5c6518a34f335252020-11-24T21:02:02ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802009-01-01200910.1155/2009/170924Multiple Description Coding with Side Information: Practical Scheme and Iterative DecodingBéatrice Pesquet-PopescuChristine GuillemotOlivier CraveMultiple description coding (MDC) with side information (SI) at the receiver is particularly relevant for robust transmission in sensor networks where correlated data is being transmitted to a common receiver, as well as for robust video compression. The rate-distortion region for this problem has been established in (Vaishampayan 1993). Here, we focus on the design of a practical MDC scheme with SI at the receiver. It builds upon both MDC principles and Slepian-Wolf (SW) coding principles. The input source is first quantized with a multiple description scalar quantizer (MDSQ) which introduces redundancy or correlation in the transmitted streams in order to take advantage of the path diversity. The resulting sequences of indexes are SW encoded, that is, separately encoded and jointly decoded. While the first step (MDSQ) plays the role of a channel code the second one (SW coding) plays the role of a source code, compressing the sequences of quantized indexes. In a second step, the cross-decoding of the two descriptions is proposed. This allows us to account for both the correlation with the SI as well as the correlation between the two descriptions. http://dx.doi.org/10.1155/2009/170924
collection DOAJ
language English
format Article
sources DOAJ
author Béatrice Pesquet-Popescu
Christine Guillemot
Olivier Crave
spellingShingle Béatrice Pesquet-Popescu
Christine Guillemot
Olivier Crave
Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding
EURASIP Journal on Advances in Signal Processing
author_facet Béatrice Pesquet-Popescu
Christine Guillemot
Olivier Crave
author_sort Béatrice Pesquet-Popescu
title Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding
title_short Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding
title_full Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding
title_fullStr Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding
title_full_unstemmed Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding
title_sort multiple description coding with side information: practical scheme and iterative decoding
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2009-01-01
description Multiple description coding (MDC) with side information (SI) at the receiver is particularly relevant for robust transmission in sensor networks where correlated data is being transmitted to a common receiver, as well as for robust video compression. The rate-distortion region for this problem has been established in (Vaishampayan 1993). Here, we focus on the design of a practical MDC scheme with SI at the receiver. It builds upon both MDC principles and Slepian-Wolf (SW) coding principles. The input source is first quantized with a multiple description scalar quantizer (MDSQ) which introduces redundancy or correlation in the transmitted streams in order to take advantage of the path diversity. The resulting sequences of indexes are SW encoded, that is, separately encoded and jointly decoded. While the first step (MDSQ) plays the role of a channel code the second one (SW coding) plays the role of a source code, compressing the sequences of quantized indexes. In a second step, the cross-decoding of the two descriptions is proposed. This allows us to account for both the correlation with the SI as well as the correlation between the two descriptions.
url http://dx.doi.org/10.1155/2009/170924
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