{"title":"用于监控系统的多通道视频流服务器","authors":"R. Wijnhoven, E. Jaspers, P. D. De with","doi":"10.1109/ISCE.2004.1375968","DOIUrl":null,"url":null,"abstract":"In this paper we describe an architecture for a multi-client, multi-channel video streaming server targeted at the security market. To obtain scalability in bit-rate, multiple compressed video streams are available for each video channel. For transmission to the user, one stream has to be selected for each video channel. Parameters and cost functions to derive the optimal set of streams are defined and heuristic algorithms to find the best combination of video streams are introduced.","PeriodicalId":169376,"journal":{"name":"IEEE International Symposium on Consumer Electronics, 2004","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multi-channel video streaming server for surveillance systems\",\"authors\":\"R. Wijnhoven, E. Jaspers, P. D. De with\",\"doi\":\"10.1109/ISCE.2004.1375968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe an architecture for a multi-client, multi-channel video streaming server targeted at the security market. To obtain scalability in bit-rate, multiple compressed video streams are available for each video channel. For transmission to the user, one stream has to be selected for each video channel. Parameters and cost functions to derive the optimal set of streams are defined and heuristic algorithms to find the best combination of video streams are introduced.\",\"PeriodicalId\":169376,\"journal\":{\"name\":\"IEEE International Symposium on Consumer Electronics, 2004\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Consumer Electronics, 2004\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCE.2004.1375968\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Consumer Electronics, 2004","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2004.1375968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-channel video streaming server for surveillance systems
In this paper we describe an architecture for a multi-client, multi-channel video streaming server targeted at the security market. To obtain scalability in bit-rate, multiple compressed video streams are available for each video channel. For transmission to the user, one stream has to be selected for each video channel. Parameters and cost functions to derive the optimal set of streams are defined and heuristic algorithms to find the best combination of video streams are introduced.
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