{"title":"H.264 visually lossless compressibility index: Psychophysics and algorithm design","authors":"Anush K. Moorthy, A. Bovik","doi":"10.1109/IVMSPW.2011.5970364","DOIUrl":null,"url":null,"abstract":"Although the term ‘visually lossless’ (VL) has been used liberally in the video compression literature, there does not seem to be a systematic evaluation of what it means for a video to be compressed visually lossless-ly. Here, we undertake a psychovisual study to infer the visually lossless threshold for H.264 compression of videos spanning a wide range of contents. Based on results from this study, we then propose a compressibility index which provides a measure of the appropriate bit-rate for VL H.264 compression of a video given texture (i.e., spatial activity) and motion (i.e., temporal activity) information. This compressibility index has been made available online at [1] in order to facilitate practical application of the research presented here and to further research in the area of VL compression.","PeriodicalId":405588,"journal":{"name":"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVMSPW.2011.5970364","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
Although the term ‘visually lossless’ (VL) has been used liberally in the video compression literature, there does not seem to be a systematic evaluation of what it means for a video to be compressed visually lossless-ly. Here, we undertake a psychovisual study to infer the visually lossless threshold for H.264 compression of videos spanning a wide range of contents. Based on results from this study, we then propose a compressibility index which provides a measure of the appropriate bit-rate for VL H.264 compression of a video given texture (i.e., spatial activity) and motion (i.e., temporal activity) information. This compressibility index has been made available online at [1] in order to facilitate practical application of the research presented here and to further research in the area of VL compression.