360 Video DASH Dataset

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Different industries are observing the positive impact of 360 video on the user experience. However, the performance of VR systems continues to fall short of customer expectations. Therefore, more research into various design elements for VR streaming systems is required. This study introduces a SW tool that offers straight-forward encoding platforms to simplify the encoding of DASH VR videos. In addition, we developed a dataset composed of 9 VR videos encoded with seven tiling configurations, four segment durations, and up to four different bitrates. A corresponding tile size dataset is also provided, which can be utilised to power network simulations or trace-driven emulations. We analysed the traffic load of various films and encoding setups using the dataset that was presented. Our research indicates that, while smaller tile sizes reduce traffic load, video decoding may require more computational power.

Original languageEnglish
Title of host publicationMMSys 2023 - Proceedings of the 14th ACM Multimedia Systems Conference
PublisherAssociation for Computing Machinery, Inc
Pages391-396
Number of pages6
ISBN (Electronic)9798400701481
DOIs
Publication statusPublished - 7 Jun 2023
Event14th ACM Multimedia Systems Conference, MMSys 2023 - Vancouver, Canada
Duration: 7 Jun 202310 Jun 2023

Publication series

NameMMSys 2023 - Proceedings of the 14th ACM Multimedia Systems Conference

Conference

Conference14th ACM Multimedia Systems Conference, MMSys 2023
Country/TerritoryCanada
CityVancouver
Period7/06/2310/06/23

Keywords

  • adaptive video streaming
  • DASH
  • HEVC
  • virtual reality

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