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Real-time stream quality assessment can assist network operators, content providers, streaming servers, and ISPs in evaluating their customers' Quality of Experience (QoE), and can lead to better design of streaming protocols, computer networks, and content delivery systems. In previous work, the authors demonstrated that objective data collected from an instrumented media player application can be used to predict video QoE of UDP streams with a high degree of accuracy and without the inherent scalability and interpretation issues of subjective ratings. In this paper, they extend their previous work to consider real time QoE assessment of TCP video streams, using as little as 15 seconds worth of data.
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