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Quality of Experience of adaptive video streaming: Investigation in service parameters and subjective quality assessment methodology
Universidad Politécnicade Madrid, Spain.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. Acreo Swedish ICT AB, Sweden. (Realistic3D)ORCID iD: 0000-0001-5060-9402
Universidad Politécnicade Madrid, Spain.
Universidad Politécnicade Madrid, Spain.
2015 (English)In: Signal processing. Image communication, ISSN 0923-5965, E-ISSN 1879-2677, Vol. 39, 432-443 p.Article in journal (Refereed) Published
Abstract [en]

The usage of HTTP adaptive streaming (HAS) has become widely spread in multimedia services. Because it allows the service providers to improve the network resource utilization and user's Quality of Experience (QoE). Using this technology, the video playback interruption is reduced since the network and server status in addition to capability of user device, all are taken into account by HAS client to adapt the quality to the current condition. Adaptation can be done using different strategies. In order to provide optimal QoE, the perceptual impact of adaptation strategies from point of view of the user should be studied. However, the time-varying video quality due to the adaptation which usually takes place in a long interval introduces a new type of impairment making the subjective evaluation of adaptive streaming system challenging. The contribution of this paper is two-fold: first, it investigates the testing methodology to evaluate HAS QoE by comparing the subjective experimental outcomes obtained from ACR standardized method and a semi-continuous method developed to evaluate the long sequences. In addition, influence of using audiovisual stimuli to evaluate the video-related impairment is inquired. Second, impact of some of the adaptation technical factors including the quality switching amplitude and chunk size in combination with high range of commercial content type is investigated. The results of this study provide a good insight toward achieving appropriate testing method to evaluate HAS QoE, in addition to designing switching strategies with optimal visual quality.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 39, 432-443 p.
Keyword [en]
Adaptive video streaming; Quality of Experience; Time-varying video quality; Subjective evaluation
National Category
Communication Systems Telecommunications Media Engineering
Identifiers
URN: urn:nbn:se:miun:diva-26290DOI: 10.1016/j.image.2015.05.001ISI: 000367412800010Scopus ID: 2-s2.0-84947862790Local ID: STCOAI: oai:DiVA.org:miun-26290DiVA: diva2:873315
Funder
VINNOVA
Available from: 2015-11-23 Created: 2015-11-23 Last updated: 2016-12-20Bibliographically approved

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CiteExportLink to record
Permanent link

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