{"title":"从机顶盒到移动设备的功率感知自适应视频流","authors":"Shih-Hsuan Yang, G. Sun","doi":"10.1109/ICCE-TW.2016.7521052","DOIUrl":null,"url":null,"abstract":"A new-generation digital set-top-box (STB), as a core device of smart home, will provide mobile devices various multimedia services. In this study, we propose a more accurate power consumption model for mobile devices that are receiving video streaming services under the MPEG-DASH framework. The proposed model considers the influence of the encoding parameters specified by the encoder and the CPU frequency and connection throughput of the mobile device. The quality level and bit rate of the streaming video is thus dynamically adjusted, which enables a smooth and more durable video service for mobile users. Experimental results show that the proposed method reduces approximately 10% of power consumption compared to the non-adaptive method.","PeriodicalId":6620,"journal":{"name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"29 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power-aware adaptive video streaming from the set-top-box to mobile devices\",\"authors\":\"Shih-Hsuan Yang, G. Sun\",\"doi\":\"10.1109/ICCE-TW.2016.7521052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new-generation digital set-top-box (STB), as a core device of smart home, will provide mobile devices various multimedia services. In this study, we propose a more accurate power consumption model for mobile devices that are receiving video streaming services under the MPEG-DASH framework. The proposed model considers the influence of the encoding parameters specified by the encoder and the CPU frequency and connection throughput of the mobile device. The quality level and bit rate of the streaming video is thus dynamically adjusted, which enables a smooth and more durable video service for mobile users. Experimental results show that the proposed method reduces approximately 10% of power consumption compared to the non-adaptive method.\",\"PeriodicalId\":6620,\"journal\":{\"name\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"volume\":\"29 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2016.7521052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2016.7521052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power-aware adaptive video streaming from the set-top-box to mobile devices
A new-generation digital set-top-box (STB), as a core device of smart home, will provide mobile devices various multimedia services. In this study, we propose a more accurate power consumption model for mobile devices that are receiving video streaming services under the MPEG-DASH framework. The proposed model considers the influence of the encoding parameters specified by the encoder and the CPU frequency and connection throughput of the mobile device. The quality level and bit rate of the streaming video is thus dynamically adjusted, which enables a smooth and more durable video service for mobile users. Experimental results show that the proposed method reduces approximately 10% of power consumption compared to the non-adaptive method.