Abstract
In this paper, we study the problem of video quality prediction over the wireless 4G network. Video transmission data is collected from a real 4G SCM testbed for investigating factors that affect video quality. After feature transformation and selection on video and network parameters, video quality is predicted by solving as regression problem. Experimental results show that the dominated factor on video quality is the channel attenuation and video quality can be well estimated by our models with small errors. © Springer-Verlag 2013.
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CITATION STYLE
Lau, C. P., Zhang, X., & Shihada, B. (2013). Video quality prediction over wireless 4G. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7819 LNAI, pp. 414–425). https://doi.org/10.1007/978-3-642-37456-2_35
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