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Subjective quality assessment of an adaptive video streaming model
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2014 (English)In: IMAGE QUALITY AND SYSTEM PERFORMANCE XI / [ed] Triantaphillidou, S; Larabi, MC, San Francisco: SPIE , 2014, Vol. 9016Conference paper, (Refereed)
Abstract [en]

With the recent increased popularity and high usage of HTTP Adaptive Streaming (HAS) techniques, various studies have been carried out in this area which generally focused on the technical enhancement of HAS technology and applications. However, a lack of common HAS standard led to multiple proprietary approaches which have been developed by major Internet companies. In the emerging MPEG-DASH standard the packagings of the video content and HTTP syntax have been standardized; but all the details of the adaptation behavior are left to the client implementation. Nevertheless, to design an adaptation algorithm which optimizes the viewing experience of the enduser, the multimedia service providers need to know about the Quality of Experience (QoE) of different adaptation schemes. Taking this into account, the objective of this experiment was to study the QoE of a HAS-based video broadcast model. The experiment has been carried out through a subjective study of the end user response to various possible clients' behavior for changing the video quality taking different QoE-influence factors into account. The experimental conclusions have made a good insight into the QoE of different adaptation schemes which can be exploited by HAS clients for designing the adaptation algorithms.

Place, publisher, year, edition, pages
San Francisco: SPIE , 2014. Vol. 9016
Series
Proceedings of SPIE, ISSN 0277-786X ; 9016
Keyword [en]
HTTP adaptive streaming, Quality of experience, Subjective quality assessment
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-6730DOI: 10.1117/12.2040131ISI: 000333059000020ISBN: 978-0-8194-9933-2 (print)OAI: oai:DiVA.org:bth-6730DiVA: diva2:834263
Conference
Conference on Image Quality and System Performance XI (IQSP),San Francisco, CA
Available from: 2014-04-15 Created: 2014-04-15 Last updated: 2017-06-19Bibliographically approved

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Shahid, Muhammad
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Department of Applied Signal Processing
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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