Tan Phan-Xuan and Eiji Kamioka
Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo,
Japan
ABSTRACT
HTTP Adaptive Streaming (HAS) has been becoming a de facto standard for Over-the-top (OTT) video
services. Typically, by adapting to network conditions, it provides smoother video quality perceived by the
end users. However, when the network condition always fluctuates due to some reasons (e.g. bandwidth
competition among HAS player or between HAS player and other applications), the perceived video quality
might be deteriorated. This demands an effective approach to maintain specific Quality of Experience
(QoE) level for the users. To do so, available bandwidth allocation is chosen as a common QoE control
method. However, accurately allocating available bandwidth is still a challenge. In this paper, bandwidth
allocation based on the relation between subjective Mean Opinions Score (MOS) and requested bitrate is
proposed. The relation is captured by a regression model, which is applied to estimate the needed available
bandwidth for the users. As the result of controlling the bandwidth, the users start to request the encoding
bitrate equal to target bitrate after several requests, resulting in higher perceived video quality.
KEYWORDS
Quality of Experience (QoE), Quality of Service (QoS), HTTP adaptive streaming, Mean Opinion Score
(MOS)
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