Zhicheng Li, Gaoxi Xiao, Yongjun Zhang, W. Gu, Sheng Liang
{"title":"Modeling of distortion for arbitrary packet loss patterns in video transmission","authors":"Zhicheng Li, Gaoxi Xiao, Yongjun Zhang, W. Gu, Sheng Liang","doi":"10.1109/ICIEA.2008.4582867","DOIUrl":null,"url":null,"abstract":"This paper proposes an accurate model for predicting the total distortion produced by arbitrary packet loss patterns. The proposed model takes into account the effects of multiple packet losses, and operates with low complexity. It is designed as a general model for different coding characteristics and various packet loss rates. We test the proposed model using H.264/AVC coded video at different loss rates. The experimental results demonstrate that the proposed model achieves higher estimation accuracy compared to the existing additive model.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd IEEE Conference on Industrial Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2008.4582867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes an accurate model for predicting the total distortion produced by arbitrary packet loss patterns. The proposed model takes into account the effects of multiple packet losses, and operates with low complexity. It is designed as a general model for different coding characteristics and various packet loss rates. We test the proposed model using H.264/AVC coded video at different loss rates. The experimental results demonstrate that the proposed model achieves higher estimation accuracy compared to the existing additive model.