The ultimate goal of network resource allocation for video teleconferencing is to optimize the Quality of Experience
(QoE) of the video. The IPPP video coding structure with macroblock intra refresh is widely used for video
teleconferencing. With such video coding structure, the loss of a frame generally causes error propagation to
subsequent frames. A resource allocation decision of a communication network determines the QoE given that
other conditions such as viewing conditions are fixed. Therefore, to optimize the QoE, a communication network
needs to be able to accurately predict the QoE for each of its resource allocation decisions and then selects the
decision corresponding to the best QoE. In our previous work, we reduced the QoE prediction problem to one of
predicting the per-frame PSNR time series. The accuracy of the proposed per-frame PSNR prediction method
was demonstrated, however, only for low resolution video sequences. In this paper, we show via simulations
that the per-frame PSNR prediction method achieves good performance for higher resolution video sequences as
well.
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