{"title":"音频-视频流压缩算法","authors":"T. Rahman, Miftahur Rahman","doi":"10.1109/ISMS.2010.44","DOIUrl":null,"url":null,"abstract":"Live audio-video streaming has become popular over the years especially when it comes to communication between people living huge geographical areas apart and at a very cheap rate or even free. However, when it comes to places where bandwidth is low or limited, smooth streaming has become a serious challenge because after all bandwidth is a natural resource and is limited. Therefore, in this paper we present two algorithms or ‘network streaming codecs’ that are designed for compressing live multimedia streams to considerable levels of 25% and 50%.","PeriodicalId":434315,"journal":{"name":"2010 International Conference on Intelligent Systems, Modelling and Simulation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Compression Algorithms for Audio-Video Streaming\",\"authors\":\"T. Rahman, Miftahur Rahman\",\"doi\":\"10.1109/ISMS.2010.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Live audio-video streaming has become popular over the years especially when it comes to communication between people living huge geographical areas apart and at a very cheap rate or even free. However, when it comes to places where bandwidth is low or limited, smooth streaming has become a serious challenge because after all bandwidth is a natural resource and is limited. Therefore, in this paper we present two algorithms or ‘network streaming codecs’ that are designed for compressing live multimedia streams to considerable levels of 25% and 50%.\",\"PeriodicalId\":434315,\"journal\":{\"name\":\"2010 International Conference on Intelligent Systems, Modelling and Simulation\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Intelligent Systems, Modelling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISMS.2010.44\",\"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 International Conference on Intelligent Systems, Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMS.2010.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Live audio-video streaming has become popular over the years especially when it comes to communication between people living huge geographical areas apart and at a very cheap rate or even free. However, when it comes to places where bandwidth is low or limited, smooth streaming has become a serious challenge because after all bandwidth is a natural resource and is limited. Therefore, in this paper we present two algorithms or ‘network streaming codecs’ that are designed for compressing live multimedia streams to considerable levels of 25% and 50%.
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