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HTTP Adaptive Streaming (HAS) has become a cost-effective means formultimedia delivery nowadays. However, how the quality of experience (QoE) isjointly affected by 1) varying perceptual quality and 2) interruptions is notwell-understood. In this paper, we present the first attempt to quantitativelyquantify the relative impacts of these factors on the QoE of streamingsessions. To achieve this purpose, we first model the impacts of the factorsusing histograms, which represent the frequency distributions of the individualfactors in a session. By using a large dataset, various insights into therelative impacts of these factors are then provided, serving as suggestions toimprove the QoE of streaming sessions.

A Study on Impacts of Multiple Factors on Video Qualify of Experience