Model Based QOE Prediction To Enable Better User Experience For Video Teleconferencing

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Model Based QOE Prediction To Enable Better User Experience For Video Teleconferencing

Research Paper  /  Feb 2014

The ultimate goal of network resource allocation for video teleconferencing is to optimize the Quality of Experience (QoE) of the video. This paper proposes a QoE prediction scheme by considering QoE models that use the per-frame PSNR time series as the input, thus reducing the QoE prediction problem to a per-frame PSNR prediction problem.