NDLI: On Multi-Stage Sequential Coding of Correlated Sources

Content Provider	IEEE Xplore Digital Library
Author	Jia Wang Xiaolin Wu Jun Sun Songyu Yu
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. Eng., Shanghai Jiao Tong Univ. (Jia Wang)
Abstract	We study the problem of multi-stage sequential coding (MSSC), which is an extension of sequential coding of correlated sources. Consider two correlated random variables X and Y to be coded in two stages. The first stage is sequential coding as referred to in the existing literature. At the second stage, the Y encoder refines the information of Y without any knowledge of X, and X encoder refines the information of X with the knowledge of Y, while all previous outputs are known at the decoder. As the sequential coding problem provides a theoretical abstraction of video coding, the MSSC model is a theoretical abstraction of scalable video coding, which is an important application of network communications. We give an achievable region for the MSSC system. The given achievable region is tight when Y is required to be reconstructed perfectly in the usual Shannon sense at the second stage. We also study the minimum total rate MSSC problem, and derive the minimum total rate for Gaussian sources. This result disproves the possibility that the minimum total rate of one stage sequential coding can be achieved at both stages even for correlated Gaussian sources. Thus we offer a theoretical explanation for the performance loss of scalable video coding widely noted by practitioners
Starting Page	253
Ending Page	262
File Size	206190
Page Count	10
File Format	PDF
ISBN	0769527914
ISSN	10680314
DOI	10.1109/DCC.2007.62
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Video coding Streaming media Random variables Performance loss Rate-distortion Data compression Sun Source coding Motion estimation
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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