360BroadView: Viewer Management for Viewport Prediction in 360-Degree Video Live Broadcast

Qian Zhou, Zhe Yang, Hongpeng Guo, Beitong Tian, Klara Nahrstedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

360-degree video is becoming an integral part of our content consumption through both video on demand and live broadcast services. However, live broadcast is still challenging due to the huge network bandwidth cost if all 360-degree views are delivered to a large viewer population over diverse networks. In this paper, we present 360BroadView, a viewer management approach to viewport prediction in 360-degree video live broadcast. We make some high-bandwidth network viewers be leading viewers to help the others (lagging viewers) predict viewports during 360-degree video viewing and save bandwidth. Our viewer management maintains the leading viewer population despite viewer churns during live broadcast, so that the system keeps functioning properly. Our evaluation shows that 360BroadView maintains the leading viewer population at a minimal yet necessary level for 97 percent of the time.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th ACM International Conference on Multimedia in Asia, MMAsia 2022
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394789
DOIs
StatePublished - Dec 13 2022
Event4th ACM International Conference on Multimedia in Asia, MMAsia 2022 - Virtual, Online, Japan
Duration: Dec 13 2022Dec 16 2022

Publication series

NameProceedings of the 4th ACM International Conference on Multimedia in Asia, MMAsia 2022

Conference

Conference4th ACM International Conference on Multimedia in Asia, MMAsia 2022
Country/TerritoryJapan
CityVirtual, Online
Period12/13/2212/16/22

Keywords

  • 360 video
  • live broadcast
  • viewer management
  • viewport prediction

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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