Abstract
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) |
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Title of host publication | HotNets 2017 - Proceedings of the 16th ACM Workshop on Hot Topics in Networks |
Publisher | Association for Computing Machinery, Inc |
Pages | 50-56 |
Number of pages | 7 |
ISBN (Electronic) | 9781450355698 |
DOIs | |
State | Published - Nov 30 2017 |
Externally published | Yes |
Event | 16th ACM Workshop on Hot Topics in Networks, HotNets 2017 - Palo Alto, United States Duration: Nov 30 2017 → Dec 1 2017 |
Publication series
Name | HotNets 2017 - Proceedings of the 16th ACM Workshop on Hot Topics in Networks |
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Other
Other | 16th ACM Workshop on Hot Topics in Networks, HotNets 2017 |
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Country/Territory | United States |
City | Palo Alto |
Period | 11/30/17 → 12/1/17 |
Bibliographical note
Publisher Copyright:© 2017 Copyright held by the owner/author(s).