360-degree videos are becoming increasingly popular on commercial platforms. In this position paper, we propose a holistic research agenda aiming at improving the performance, resource utilization efficiency, and users' quality of experience (QoE) for 360° video streaming on commodity mobile devices. Based on a Field-of-View (FoV) guided approach that fetches only portions of a scene that users will see, our proposed research includes the following: robust video rate adaptation with incremental chunk upgrading, big-data-assisted head movement prediction and rate adaptation, novel support for multipath streaming, and enhancements to live 360° video broadcast. We also show preliminary results demonstrating promising performance of our proof-of-concept 360° video streaming system on which our proposed research are being prototyped, integrated, and evaluated.
|Original language||English (US)|
|Title of host publication||HotNets 2017 - Proceedings of the 16th ACM Workshop on Hot Topics in Networks|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||7|
|State||Published - Nov 30 2017|
|Event||16th ACM Workshop on Hot Topics in Networks, HotNets 2017 - Palo Alto, United States|
Duration: Nov 30 2017 → Dec 1 2017
|Name||HotNets 2017 - Proceedings of the 16th ACM Workshop on Hot Topics in Networks|
|Other||16th ACM Workshop on Hot Topics in Networks, HotNets 2017|
|Period||11/30/17 → 12/1/17|
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