DocumentCode
3352974
Title
Hidden Markov Model for distributed video coding
Author
Toto-Zarasoa, V. ; Roumy, A. ; Guillemot, C.
Author_Institution
IRISA, Univ. of Rennes, Rennes, France
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
3709
Lastpage
3712
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.
Keywords
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; Codecs; Correlation; Decoding; Hidden Markov models; Joints; Parity check codes; Video coding; Channel coding; Linear codes; Parameter estimation; Source coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5652643
Filename
5652643
Link To Document