Abstract | ||
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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 |
Year | DOI | Venue |
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2016 | 10.1145/2980115.2980119 | HotWireless@MobiCom |
DocType | Citations | PageRank |
Conference | 9 | 0.70 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaoli Wang | 1 | 67 | 22.94 |
Aakanksha Chowdhery | 2 | 155 | 12.28 |
Mung Chiang | 3 | 7303 | 486.32 |