Model for mobile online video viewed on samsung galaxy note 5
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Publication Details
Author list: Pal D., Vanijja V.
Publication year: 2017
Journal: KSII Transactions on Internet and Information Systems (1976-7277)
Volume number: 11
Issue number: 11
Start page: 5392
End page: 5418
Number of pages: 27
ISSN: 1976-7277
Languages: English-Great Britain (EN-GB)
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Abstract
The primary aim of this paper is to propose a non-linear regression based technique for mapping different network Quality of Service (QoS) factors to an integrated end-user Quality of Experience (QoE) or Mean Opinion Score (MOS) value for an online video streaming service on a mobile phone. We use six network QoS factors for finding out the user QoE. The contribution of this paper is threefold. First, we investigate the impact of the network QoS factors on the perceived video quality. Next, we perform an individual mapping of the significant network QoS parameters obtained in stage 1 to the user QoE based upon a non-linear regression method. The optimal QoS to QoE mapping function is chosen based upon a decision variable. In the final stage, we evaluate the integrated QoE of the system by taking the combined effect of all the QoS factors considered. Extensive subjective tests comprising of over 50 people across a wide variety of video contents encoded with H.265/HEVC and VP9 codec have been conducted in order to gather the actual MOS data for the purpose of QoS to QoE mapping. Our proposed hybrid model has been validated against unseen data and reveals good prediction accuracy. ฉ 2017 KSII.
Keywords
H.265, Regression Analysis, VP9
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