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Quality of Experience of Adaptive Video Streaming: Investigation in Service Parameters Subjective Quality Assessment Methodology
RISE, Swedish ICT, Acreo.ORCID iD: 0000-0001-5060-9402
2015 (English)In: Signal processing. Image communication, ISSN 0923-5965, E-ISSN 1879-2677, Vol. 39, no b, p. 432-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 user's Quality of Experience (QoE). Using this technology, the video playback interruption is reduced since the network 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 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 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._x000D_

Place, publisher, year, edition, pages
2015. Vol. 39, no b, p. 432-
Keywords [en]
Adaptive videostreaming, Quality of Experience, Time-varying videoquality, Subjective evaluation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31891OAI: oai:DiVA.org:ri-31891DiVA, id: diva2:1151749
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2018-10-03Bibliographically approved

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Brunnström, Kjell

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CiteExportLink to record
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