DocumentCode
3730675
Title
Characterizing the correlation between video types and user quality of experience in the large-scale internet video service
Author
Xiaoru Wang; Anming Wei; Yingyun Yang; Jinhui Ning
Author_Institution
Communication University of China, Beijing, China
fYear
2015
Firstpage
2086
Lastpage
2092
Abstract
The video service is one of the most important Internet services, and user quality of experience (QoE) represents the degree of recognition of the video service. Therefore, research on QoE is significant in improving the quality of the video service. Considering the influence of different factors on QoE, this paper studies the effect of video content types on QoE. In this article, we divide videos into seven types: entertainment, cartoon, sport, news, music, teleplay, specialty. Besides, we utilize user engagement to measure QoE. The study shows that the correlation which is mainly reflected in following aspects between video types and QoE is substantial. Firstly, video types can impact QoE directly. For example, the proportion of high engagement of cartoon is higher than other videos by 30%. Secondly, video types affect the distribution of the key performance indicators (KPIs). Lastly, video types influence the correlation between user engagement and KPI.
Keywords
"Streaming media","Bandwidth","Correlation","Internet","Quality of service","Time-frequency analysis","Bit rate"
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
Type
conf
DOI
10.1109/FSKD.2015.7382273
Filename
7382273
Link To Document