Skype移动视频的网络表征和感知评价

S. Jana, A. Pande, An Chan, P. Mohapatra
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引用次数: 4

摘要

我们描述了最流行的视频电话应用程序Skype的视频和网络层属性的性能。研究了移动和静止两种场景下的性能;考虑网络特性,如丢包、传播延迟、可用带宽及其对感知视频质量的影响,使用时空无参考视频度量进行测量。基于200多条实时轨迹,我们研究了该移动视频电话应用程序的性能。我们将视频质量建模为输入网络参数的函数,并推导出一个前馈人工神经网络,该网络可以在给定网络条件(0.0206≤MSE≤0.570)下准确预测视频质量。通过将终端用户的移动性作为模型的输入,该模型的准确性得到了显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Characterization and Perceptual Evaluation of Skype Mobile Videos
We characterize the performance of both video and network layer properties of Skype, the most popular video telephony application. The performance in both mobile and stationary scenarios is investigated; considering network characteristics such as packet loss, propagation delay, available bandwidth and their effects on the perceptual video quality, measured using spatial and temporal no-reference video metrics. Based on 200+ live traces, we study the performance of this mobile video telephony application. We model video quality as a function of input network parameters and derive a feed-forward Artificial-Neural-Network that accurately predicts video quality given network conditions (0.0206 ≤ MSE ≤ 0.570). The accuracy of this model improves significantly by incorporating end-user mobility as an input to the model.
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