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The Prefetch Aggressiveness Tradeof in 360 degrees Video Streaming
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
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2018 (English)In: PROCEEDINGS OF THE 9TH ACM MULTIMEDIA SYSTEMS CONFERENCE (MMSYS18), ASSOC COMPUTING MACHINERY , 2018, p. 258-269Conference paper, Published paper (Refereed)
Abstract [en]

With 360 degrees video, only a limited fraction of the full view is displayed at each point in time. This has prompted the design of streaming delivery techniques that allow alternative playback qualities to be delivered for each candidate viewing direction. However, while prefetching based on the users expected viewing direction is best done close to playback deadlines, large buffers are needed to protect against shortfalls in future available bandwidth. This results in conflicting goals and an important prefetch aggressiveness tradeoff problem regarding how far ahead in time from the current playpoint prefetching should be done. This paper presents the first characterization of this tradeoff. The main contributions include an empirical characterization of head movement behavior based on data from viewing sessions of four different categories of 360 degrees video, an optimization-based comparison of the prefetch aggressiveness tradeoffs seen for these video categories, and a data-driven discussion of further optimizations, which include a novel system design that allows both tradeoff objectives to be targeted simultaneously. By qualitatively and quantitatively analyzing the above tradeoffs, we provide insights into how to best design tomorrows delivery systems for 360 degrees videos, allowing content providers to reduce bandwidth costs and improve users playback experiences.

Place, publisher, year, edition, pages
ASSOC COMPUTING MACHINERY , 2018. p. 258-269
Keywords [en]
360 degrees streaming; optimized prefetching; view prediction
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-154141DOI: 10.1145/3204949.3204970ISI: 000455343100023ISBN: 978-1-4503-5192-8 (print)OAI: oai:DiVA.org:liu-154141DiVA, id: diva2:1283565
Conference
9th ACM Multimedia Systems Conference (MMSys)
Note

Funding Agencies|Swedish Research Council (VR); Natural Sciences and Engineering Research Council (NSERC) of Canada

Available from: 2019-01-29 Created: 2019-01-29 Last updated: 2019-01-29

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Almquist, MathiasAlmquist, ViktorKrishnamoorthi, VengatanathanCarlsson, Niklas
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf