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Hidden Markov Model for Distributed Video Coding

Velotiaray Toto-Zarasoa 1 Aline Roumy 1 Christine Guillemot 1
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper addresses the problem of asymmetric distributed coding of correlated binary Hidden Markov Sources, modeled as a Gilbert-Elliott process. The model parameters are estimated with an estimation-decoding Expectation-Maximization algorithm. The rate gain obtained by accounting for the memory of the sources is first assessed theoretically. The method is then shown to improve the PSNR versus rate performance of a Distributed Video Coding system, based on Low-Density Parity-Check codes.
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https://hal.inria.fr/inria-00538792
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Submitted on : Tuesday, November 23, 2010 - 12:29:25 PM
Last modification on : Tuesday, June 15, 2021 - 4:27:46 PM
Long-term archiving on: : Friday, December 2, 2016 - 2:32:48 PM

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Velotiaray Toto-Zarasoa, Aline Roumy, Christine Guillemot. Hidden Markov Model for Distributed Video Coding. IEEE 17th International Conference on Image Processing, Sep 2010, Hong-Kong, China. ⟨inria-00538792⟩

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