Source Requantization: Successive Degradation and Bit Stealing
DCC '02 Proceedings of the Data Compression Conference
Successively Structured Gaussian Two-terminal Source Coding
Wireless Personal Communications: An International Journal
Successive coding of correlated sources
IEEE Transactions on Information Theory
A computation approach to the minimum total rate problem of causal video coding
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
The lossy one-helper conjecture is false
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Successive refinement of vector sources under individual distortion criteria
IEEE Transactions on Information Theory
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We study a generalization of the successive refinement coding problem called the sequential coding of correlated sources. In successive refinement source coding one first describes the given source using a few bits of information, and then subsequently improves the description of the same source when more information is supplied. Sequential coding differs from successive refinement in that the second-stage encoding involves describing a correlated source as opposed to improving the description of the same source. We introduce the notion of a coupled fidelity criterion to quantify perceived distortion in certain applications of sequential coding. We characterize the achievable rate region for this source coding problem and show that the rate region reduces to the successive refinement rate region when the two sources are the same. Then we consider the specific case of a pair of correlated Gaussian sources as an example. We give an explicit characterization that reveals an interesting generalization of a property of successive refinement of a single Gaussian source