Understanding Viewing Engagement and Video Quality in a Large-scale Mobile Video System

被引:0
|
作者
Chen, Zitao [1 ]
Cui, Laizhong [2 ]
Jiang, Yong [1 ]
Wang, Zhi [1 ]
机构
[1] Tsinghua Univ, Grad Sch ShenZhen, Shenzhen 518060, Peoples R China
[2] Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the advances in wireless communication and the growing popularity of mobile devices, it has become rather normal to watch videos using mobile devices such as mobile phones and tablets. In order to improve user engagement in mobile video sessions, it is important for content providers and CDN operators to understand the correlations between video quality and Quality of Experience (QoE) of mobile users. In this paper, we measure how video quality metrics affect user engagement, and identify several counter-intuitive relationships, based on the large-scale trace data from a famous IPTV provider. We discover the internal causes of these relationships later, which give us new insights about how we improve user engagement. Based on our new insights, we further design a user engagement prediction framework to let content providers predict how long viewers will remain in video sessions with specific video quality metrics. Finally, we verify the effectiveness of the prediction framework by the real-world data.
引用
收藏
页码:1271 / 1277
页数:7
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