Title
Hidden Markov Model for distributed video coding
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.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5652643
Image Processing
Keywords
DocType
ISSN
hidden Markov models,parity check codes,video coding,Gilbert-Elliott process,PSNR,asymmetric distributed coding,distributed video coding system,estimation-decoding expectation-maximization algorithm,hidden Markov model,low-density parity-check codes,Channel coding,Linear codes,Parameter estimation,Source coding
Conference
1522-4880 E-ISBN : 978-1-4244-7993-1
ISBN
Citations 
PageRank 
978-1-4244-7993-1
5
0.45
References 
Authors
5
3
Name
Order
Citations
PageRank
Velotiaray Toto-Zarasoa1100.87
Aline Roumy246432.54
Christine Guillemot31286104.25