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

Model Based QOE Prediction To Enable Better User Experience For Video Teleconferencing
Research Paper / Feb 2014
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