{"title":"基于网络的丢包可见性模型的大范围变比特减少率丢包","authors":"Ting-Lan Lin, Jihyun Shin, P. Cosman","doi":"10.1109/DCC.2010.47","DOIUrl":null,"url":null,"abstract":"We propose a packet dropping algorithm for various packet loss rates. A network-based packet loss visibility model is used to evaluate the visual importance of each H.264 packet inside the network. During network congestion, based on the estimated loss visibility of each packet, we drop the least visible frames and/or the least visible packets until the required bit reduction rate is achieved. Based on a computable perceptually-based metric, our algorithm performs better than an existing approach (dropping B packets or frames).","PeriodicalId":299459,"journal":{"name":"2010 Data Compression Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Packet Dropping for Widely Varying Bit Reduction Rates Using a Network-Based Packet Loss Visibility Model\",\"authors\":\"Ting-Lan Lin, Jihyun Shin, P. Cosman\",\"doi\":\"10.1109/DCC.2010.47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a packet dropping algorithm for various packet loss rates. A network-based packet loss visibility model is used to evaluate the visual importance of each H.264 packet inside the network. During network congestion, based on the estimated loss visibility of each packet, we drop the least visible frames and/or the least visible packets until the required bit reduction rate is achieved. Based on a computable perceptually-based metric, our algorithm performs better than an existing approach (dropping B packets or frames).\",\"PeriodicalId\":299459,\"journal\":{\"name\":\"2010 Data Compression Conference\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2010.47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2010.47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Packet Dropping for Widely Varying Bit Reduction Rates Using a Network-Based Packet Loss Visibility Model
We propose a packet dropping algorithm for various packet loss rates. A network-based packet loss visibility model is used to evaluate the visual importance of each H.264 packet inside the network. During network congestion, based on the estimated loss visibility of each packet, we drop the least visible frames and/or the least visible packets until the required bit reduction rate is achieved. Based on a computable perceptually-based metric, our algorithm performs better than an existing approach (dropping B packets or frames).