On Evaluating Perceptual Quality of Online User-Generated Videos

被引：6
|
作者：
Jang, Soobeom [1 ,2 ]
Lee, Jong-Seok [1 ,2 ]
机构：
[1] Yonsei Univ, Sch Integrated Technol, Inchon 21983, South Korea
[2] Yonsei Univ, Yonsei Inst Convergence Technol, Inchon 21983, South Korea
来源：
IEEE TRANSACTIONS ON MULTIMEDIA | 2016年 / 18卷 / 09期
关键词：
Metadata; paired comparison; quality assessment; user-generated video; PREDICTION;
D O I：
10.1109/TMM.2016.2581582
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the issue of the perceptual quality evaluation of user-generated videos shared online, which is an important step toward designing video-sharing services that maximize users' satisfaction in terms of quality. We first analyze viewers' quality perception patterns by applying graph analysis techniques to subjective rating data. We then examine the performance of existing state-of-the-art objective metrics for the quality estimation of user-generated videos. In addition, we investigate the feasibility of metadata accompanied with videos in online video-sharing services for quality estimation. Finally, various issues in the quality assessment of online user-generated videos are discussed, including difficulties and opportunities.
引用
收藏
页码：1808 / 1818
页数：11
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