Title :
An objective multi-factor QoE evaluation based on content classification for H.264/AVC encoded video
Author :
Jichun Liu ; Yang Geng ; Deyuan Wang ; Wenjing Li ; Xuesong Qiu
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
backpropagation; image classification; neural nets; quality of experience; video coding; H.264-AVC encoded video; application layer; bitstream layer; content classification; objective multifactor QoE evaluation; objective parameters; quality of experience; video QoE; video content classification mechanism; video content type; MATLAB; Mobile communication; Vectors; BP neural network; QoE; content classification; objective evaluation;
Conference_Titel :
Computers and Communications (ISCC), 2013 IEEE Symposium on
Conference_Location :
Split
DOI :
10.1109/ISCC.2013.6754935
