Topic
Distributed source coding
About: Distributed source coding is a research topic. Over the lifetime, 1374 publications have been published within this topic receiving 29143 citations.
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27 Jun 2005
TL;DR: The recent development of practical distributed video coding schemes is reviewed, finding that the rate-distortion performance is superior to conventional intraframe coding, but there is still a gap relative to conventional motion-compensated interframe coding.
Abstract: Distributed coding is a new paradigm for video compression, based on Slepian and Wolf's and Wyner and Ziv's information-theoretic results from the 1970s. This paper reviews the recent development of practical distributed video coding schemes. Wyner-Ziv coding, i.e., lossy compression with receiver side information, enables low-complexity video encoding where the bulk of the computation is shifted to the decoder. Since the interframe dependence of the video sequence is exploited only at the decoder, an intraframe encoder can be combined with an interframe decoder. The rate-distortion performance is superior to conventional intraframe coding, but there is still a gap relative to conventional motion-compensated interframe coding. Wyner-Ziv coding is naturally robust against transmission errors and can be used for joint source-channel coding. A Wyner-Ziv MPEG encoder that protects the video waveform rather than the compressed bit stream achieves graceful degradation under deteriorating channel conditions without a layered signal representation.
1,342 citations
TL;DR: This work addresses the problem of compressing correlated distributed sources, i.e., correlated sources which are not co-located or which cannot cooperate to directly exploit their correlation and provides a constructive practical framework based on algebraic trellis codes dubbed as DIstributed Source Coding Using Syndromes (DISCUS), that can be applicable in a variety of settings.
Abstract: We address the problem of compressing correlated distributed sources, i.e., correlated sources which are not co-located or which cannot cooperate to directly exploit their correlation. We consider the related problem of compressing a source which is correlated with another source that is available only at the decoder. This problem has been studied in the information theory literature under the name of the Slepian-Wolf (1973) source coding problem for the lossless coding case, and as "rate-distortion with side information" for the lossy coding case. We provide a constructive practical framework based on algebraic trellis codes dubbed as DIstributed Source Coding Using Syndromes (DISCUS), that can be applicable in a variety of settings. Simulation results are presented for source coding of independent and identically distributed (i.i.d.) Gaussian sources with side information available at the decoder in the form of a noisy version of the source to be coded. Our results reveal the promise of this approach: using trellis-based quantization and coset construction, the performance of the proposed approach is 2-5 dB from the Wyner-Ziv (1976) bound.
1,060 citations
TL;DR: In this article, the authors presented an intensive discussion on two distributed source coding (DSC) techniques, namely Slepian-Wolf coding and Wyner-Ziv coding, and showed that separate encoding is as efficient as joint coding for lossless compression in channel coding.
Abstract: In recent years, sensor research has been undergoing a quiet revolution, promising to have a significant impact throughout society that could quite possibly dwarf previous milestones in the information revolution. Realizing the great promise of sensor networks requires more than a mere advance in individual technologies. It relies on many components working together in an efficient, unattended, comprehensible, and trustworthy manner. One of the enabling technologies in sensor networks is the distributed source coding (DSC), which refers to the compression of the multiple correlated sensor outputs that does not communicate with each other. DSC allows a many-to-one video coding paradigm that effectively swaps encoder-decoder complexity with respect to conventional video coding, thereby representing a fundamental concept shift in video processing. This article has presented an intensive discussion on two DSC techniques, namely Slepian-Wolf coding and Wyner-Ziv coding. The Slepian and Wolf coding have theoretically shown that separate encoding is as efficient as joint coding for lossless compression in channel coding.
819 citations
TL;DR: The first part of this paper consists of short summaries of recent work in five rather traditional areas of the Shannon theory, namely: source and channel coding theorems for new situations, and calculation of source rate and channel capacity.
Abstract: The first part of this paper consists of short summaries of recent work in five rather traditional areas of the Shannon theory, namely: 1) source and channel coding theorems for new situations; 2) calculation of source rate and channel capacity; 3) channel coding with feedback; 4) source coding; 5) universal coding. The second part of thc paper consists of a relatively detailed discussion of some aspects of the area that the author considers to be the most dynamic and exciting in the Shannon theory: multiple-user communication. The discussion here includes "multiple-access channels," "broadcast channels," and various source coding problems with multiple-user constraints.
662 citations
TL;DR: Low-density parity-check (LDPC) codes can be used to compress close to the Slepian-Wolf limit for correlated binary sources with side information at the decoder based on viewing the correlation as a channel and applying the syndrome concept.
Abstract: We show how low-density parity-check (LDPC) codes can be used to compress close to the Slepian-Wolf limit for correlated binary sources. Focusing on the asymmetric case of compression of an equiprobable memoryless binary source with side information at the decoder, the approach is based on viewing the correlation as a channel and applying the syndrome concept. The encoding and decoding procedures are explained in detail. The performance achieved is seen to be better than recently published results using turbo codes and very close to the Slepian-Wolf limit.
644 citations