{"title":"L1-norm minimization in pixel recovery for H.264 video transmission","authors":"Ting-Lan Lin, Chang-Yi Fan, Gui-Xiang Huang, Wen-Chih Chen","doi":"10.1109/ISPACS.2012.6473500","DOIUrl":null,"url":null,"abstract":"We consider an application of sparse optimization in the error concealment area. State-of-the-art spatial and temporal error concealment method is improved and compared. By solving for limited numbers of significant predictors using the sparse optimization, our algorithm performs subjectively and objective better for the concealed result.","PeriodicalId":158744,"journal":{"name":"2012 International Symposium on Intelligent Signal Processing and Communications Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Symposium on Intelligent Signal Processing and Communications Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2012.6473500","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
We consider an application of sparse optimization in the error concealment area. State-of-the-art spatial and temporal error concealment method is improved and compared. By solving for limited numbers of significant predictors using the sparse optimization, our algorithm performs subjectively and objective better for the concealed result.