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An objective multi-factor QoE evaluation based on content classification for H.264/AVC encoded video

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5 Author(s)
Jichun Liu ; State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China ; Yang Geng ; Deyuan Wang ; Wenjing Li
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Because the quality of experience (QoE) of video is affected by the content type of the video, this paper firstly establishes a video content classification mechanism. Based on the content types and the objective parameters of bitstream layer and application layer, which have influences on video QoE, a multi-factor QoE evaluation method for H.264/AVC encoded video is proposed. The experimental study shows that the proposed method performs well in assessing the video QoE.

Published in:

Computers and Communications (ISCC), 2013 IEEE Symposium on

Date of Conference:

7-10 July 2013