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1 PS - Peer-to-Peer Systems Engineering Lab Darmstadt 2 KOM - Multimedia Communications Lab Darmstadt 3 University of Wuerzburg

Abstract : The transmission of video data is a major part of traffic on today’s Internet. Since the Internet is a highly dynamic environment, quality adaptation is essential in matching user device resources with the streamed video quality. This can be achieved by applying mechanisms that follow the Scalable Video Coding SVC standard, which enables scalability of the video quality in multiple dimensions. In SVC-based streaming, adaptation decisions have long been driven by Quality of Service QoS metrics, such as throughput. However, these metrics do not well match the way human users perceive video quality. Therefore, in this paper, the classical SVC-based video streaming approach is expanded to consider Quality of Experience QoE for adaptation decisions. The video quality is assessed using existing objective techniques with a high correlation to the human perception. The approach is evaluated in context of a P2P-based Video-on-Demand VoD system and shows that by making peers favor always layers with a high estimated QoE but not necessarily high bandwidth requirements, the performance of the entire system can be enhanced in terms of playback delay and SVC video quality by up to 20%. At the same time, content providers are able to reduce up to 60 of their server costs, compared to the classical QoS-based approach.

Keywords : Peer-to-Peer Video Streaming Quality Adaptation Quality of Experience Scalable Video Coding





Author: Julius Rückert - Osama Abboud - Thomas Zinner - Ralf Steinmetz - David Hausheer -

Source: https://hal.archives-ouvertes.fr/



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