{"title":"没有打嗝的唐顿庄园:HTTP视频流的基于缓冲的速率适应","authors":"Te-Yuan Huang, Ramesh Johari, N. McKeown","doi":"10.1145/2491172.2491179","DOIUrl":null,"url":null,"abstract":"Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.","PeriodicalId":130413,"journal":{"name":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"123","resultStr":"{\"title\":\"Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming\",\"authors\":\"Te-Yuan Huang, Ramesh Johari, N. McKeown\",\"doi\":\"10.1145/2491172.2491179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.\",\"PeriodicalId\":130413,\"journal\":{\"name\":\"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"123\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2491172.2491179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2491172.2491179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming
Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.