{"title":"skyyeyes:来自无人机的自适应视频流","authors":"Xiaoli Wang, Aakanksha Chowdhery, M. Chiang","doi":"10.1145/2980115.2980119","DOIUrl":null,"url":null,"abstract":"UAVs (unmanned aerial vehicles) equipped with high-end cameras have become increasingly popular among consumers. UAVs have been traditionally considered for applications such as disaster response and surveillance, while emerging applications include live-event broadcasts, precision agriculture, and augmented-reality games. Consumer UAVs today use fixed-bitrate video streaming where users configure the resolution (4K or 1080p). However, applications with real-time streaming that deploy UAVs in the wild will require adaptive video streaming to tackle uncertain wireless link capacities and meet their video quality requirements. This paper is a first step toward the design of adaptive video streaming algorithms that can provide significant gains for UAV streaming. Our system SkyEyes leverages two novel aspects to aid UAV streaming: content-based compression and video rate adaptation based on location sensors and client buffer status. Our system prototype, while far from complete, exhibits promise -- we believe that adaptive video streaming is indeed crucial for real-time UAV applications","PeriodicalId":172085,"journal":{"name":"Proceedings of the 3rd Workshop on Hot Topics in Wireless","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"SkyEyes: adaptive video streaming from UAVs\",\"authors\":\"Xiaoli Wang, Aakanksha Chowdhery, M. Chiang\",\"doi\":\"10.1145/2980115.2980119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"UAVs (unmanned aerial vehicles) equipped with high-end cameras have become increasingly popular among consumers. UAVs have been traditionally considered for applications such as disaster response and surveillance, while emerging applications include live-event broadcasts, precision agriculture, and augmented-reality games. Consumer UAVs today use fixed-bitrate video streaming where users configure the resolution (4K or 1080p). However, applications with real-time streaming that deploy UAVs in the wild will require adaptive video streaming to tackle uncertain wireless link capacities and meet their video quality requirements. This paper is a first step toward the design of adaptive video streaming algorithms that can provide significant gains for UAV streaming. Our system SkyEyes leverages two novel aspects to aid UAV streaming: content-based compression and video rate adaptation based on location sensors and client buffer status. Our system prototype, while far from complete, exhibits promise -- we believe that adaptive video streaming is indeed crucial for real-time UAV applications\",\"PeriodicalId\":172085,\"journal\":{\"name\":\"Proceedings of the 3rd Workshop on Hot Topics in Wireless\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd Workshop on Hot Topics in Wireless\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2980115.2980119\",\"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 3rd Workshop on Hot Topics in Wireless","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2980115.2980119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
UAVs (unmanned aerial vehicles) equipped with high-end cameras have become increasingly popular among consumers. UAVs have been traditionally considered for applications such as disaster response and surveillance, while emerging applications include live-event broadcasts, precision agriculture, and augmented-reality games. Consumer UAVs today use fixed-bitrate video streaming where users configure the resolution (4K or 1080p). However, applications with real-time streaming that deploy UAVs in the wild will require adaptive video streaming to tackle uncertain wireless link capacities and meet their video quality requirements. This paper is a first step toward the design of adaptive video streaming algorithms that can provide significant gains for UAV streaming. Our system SkyEyes leverages two novel aspects to aid UAV streaming: content-based compression and video rate adaptation based on location sensors and client buffer status. Our system prototype, while far from complete, exhibits promise -- we believe that adaptive video streaming is indeed crucial for real-time UAV applications