Elements of information theory
Elements of information theory
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Low Encoding Complexity Video Compression Based on Low-Density Parity Check Codes
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
DCC '07 Proceedings of the 2007 Data Compression Conference
A Novel Local Smoothness Constrained Side-Information Frame Generator
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
The rate loss in the Wyner-Ziv problem
IEEE Transactions on Information Theory - Part 2
Duality between source coding and channel coding and its extension to the side information case
IEEE Transactions on Information Theory
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Wyner and Ziv characterized the rate distortion function for lossy source coding with side information at the decoder. It is well known that for the quadratic Gaussian case, the Wyner-Ziv rate-distortion function coincides with the conditional rate-distortion function. In this paper, we extend the problem to the coding of multivariate Gaussian source with multiple Gaussian side information at the decoder. The achievable region is obtained, and it is easily extended to the case that the difference between the source and the side information is multivariate Gaussian, no matter what distributions the source and the side information are. We apply this theoretical model to Distributed Video Coding (DVC) by considering the difference of the Distributed frame (D frame) and the Side-information frame (S frame) to be multivariate Gaussian distributed. This introduces rate allocation problem into DVC, which can be solved by a reverse water-filling method. Simulation results show that around 1.5-2 dB coding gain benefits from the multivariate Gaussian Wyner-Ziv coding model.