University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Quality Analysis of Side Information Refinement in Transform-Based DVC

Yasakethu, SLP, Fernando, WAC, Badem, MB and Kondoz, AM (2008) Quality Analysis of Side Information Refinement in Transform-Based DVC In: 4th ICIAFS, 2008-12-12 - 2008-12-14, Colombo, Sri Lanka.

Full text not available from this repository.

Abstract

Distributed Video Coding (DVC) has been proposed for different new application domains. This rise is apparently motivated by the very attractive features of its flexibility for building very low cost video encoders and the very high built-in error resilience when applied over noisy communication channels. These features could be very effectively exploited in several application domains including wireless sensor networks for security surveillance and mobile video communications. So far DVC has used PSNR to measure the quality of the decoded video. In this paper, we analyze the performance of the DVC encoded video with three different quality matrices: PSNR, VQM and SSIM. We used one of our side information refinement algorithms in transform domain DVC as the basis for all comparisons. Simulation results show that the side information refinement technique based on motion analysis can achieve a significant coding gain with respective to all quality matrices considered. However, subjective results show that VQM has a very high correlation with the MOS which suggests that VQM is a better quality metric that can be used in DVC.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Yasakethu, SLPs.l.yasakethu@surrey.ac.ukUNSPECIFIED
Fernando, WACw.fernando@surrey.ac.ukUNSPECIFIED
Badem, MBUNSPECIFIEDUNSPECIFIED
Kondoz, AMa.kondoz@surrey.ac.ukUNSPECIFIED
Date : 12 December 2008
Identification Number : https://doi.org/10.1109/ICIAFS.2008.4783945
Contributors :
ContributionNameEmailORCID
publisherIEEE, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : VIDEO QUALITY
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 11:09
Last Modified : 17 May 2017 14:54
URI: http://epubs.surrey.ac.uk/id/eprint/830213

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800