eprintid: 1980
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/19/80
datestamp: 2023-11-09 15:50:09
lastmod: 2023-11-09 15:50:09
status_changed: 2023-11-09 15:41:45
type: article
metadata_visibility: show
creators_name: Elamin, A.
creators_name: Jeoti, V.
creators_name: Belhouari, S.
title: Best fit models test for the virtual channel in distributed video coding
ispublished: pub
note: cited By 1
abstract: Wyner-Ziv (WZ) video coding - a particular case of distributed video coding (DVC) - is a new video coding paradigm based on two major Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. Most of the solutions available in the literature, model the correlation noise between the original frame and the so-called side information by virtual channel. However most of the DVC solutions in the literature assume Laplacian distribution as noise virtual channel model, in this study we perform three goodness-of-fit tests, the Kolmogorov- Smirnov test and the Chi-Square test and log-Likelihood test to study the nature of the virtual channel. The results show that a mixture of 3 (or 4) mixture Gaussian model can best describe this virtual channel. © School of Engineering, Taylor's University.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051514389&partnerID=40&md5=ed95f548283051f97fadcf8831f4c4dd
full_text_status: none
publication: Journal of Engineering Science and Technology
volume: 6
number: 4
pagerange: 481-492
refereed: TRUE
issn: 18234690
citation:   Elamin, A. and Jeoti, V. and Belhouari, S.  (2011) Best fit models test for the virtual channel in distributed video coding.  Journal of Engineering Science and Technology, 6 (4).  pp. 481-492.  ISSN 18234690