Enabling QoE-based scheduling for video teleconferencing via PSNR time series prediction

Lianping Ma; Yuriy Reznik; Rahul Vanam; Gregory Sternberg

doi:10.1117/12.2026910

26 September 2013 Enabling QoE-based scheduling for video teleconferencing via PSNR time series prediction

Lianping Ma, Yuriy Reznik, Rahul Vanam, Gregory Sternberg

Proceedings Volume 8856, Applications of Digital Image Processing XXXVI; 88560I (2013) https://doi.org/10.1117/12.2026910
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

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.

Citation Download Citation

Lianping Ma, Yuriy Reznik, Rahul Vanam, and Gregory Sternberg "Enabling QoE-based scheduling for video teleconferencing via PSNR time series prediction", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88560I (26 September 2013); https://doi.org/10.1117/12.2026910

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