{"title":"Transmit rate reduction of Wyner-Ziv video coding (WZVC) using multiple uncorrelated wireless receivers","authors":"K. Thambu, Xavier N Fernando, L. Guan","doi":"10.1109/QBSC.2012.6221376","DOIUrl":null,"url":null,"abstract":"Wyner-Ziv video coding (WZVC) is very attractive for low power wireless video sensors. In this paper we show that how the transmission bit-rate of WZVC can be further reduced when multiple uncorrelated wireless receiving points are deployed at the decoder. This is different from classical SIMO in the sense of cross layer coding is deployed. When the wireless channel degrades, decoder is fed with an optimum parities from the available parities to find the one that enables successful decoding. The optimum parity is computed from the multiple received signals using a matrix decomposition method, where the video image properties are incorporated with the wireless channel impairments. We compare the video quality (PSNR) with respect to the bit rate and the wireless channel SNR. The simulation results show remarkable improvement of PSNR even at low transmission rate.","PeriodicalId":343966,"journal":{"name":"2012 26th Biennial Symposium on Communications (QBSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 26th Biennial Symposium on Communications (QBSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QBSC.2012.6221376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Wyner-Ziv video coding (WZVC) is very attractive for low power wireless video sensors. In this paper we show that how the transmission bit-rate of WZVC can be further reduced when multiple uncorrelated wireless receiving points are deployed at the decoder. This is different from classical SIMO in the sense of cross layer coding is deployed. When the wireless channel degrades, decoder is fed with an optimum parities from the available parities to find the one that enables successful decoding. The optimum parity is computed from the multiple received signals using a matrix decomposition method, where the video image properties are incorporated with the wireless channel impairments. We compare the video quality (PSNR) with respect to the bit rate and the wireless channel SNR. The simulation results show remarkable improvement of PSNR even at low transmission rate.