Quality of experience evaluation of HTTP video streaming based on user interactive behaviors

doi:10.1016/S1005-8885(17)60208-5

中国邮电高校学报(英文) ›› 2017, Vol. 24 ›› Issue (3): 24-32.doi: 10.1016/S1005-8885(17)60208-5

• Artificial Intelligence • 上一篇下一篇

Quality of experience evaluation of HTTP video streaming based on user interactive behaviors

李文璟¹,喻鹏²,王瑞一¹,丰雷¹,董欧洲¹,邱雪松³

1. 北京邮电大学
2. 北京市海淀区西土城路10号北京邮电大学
3. 北京邮电大学198信箱

收稿日期:2016-12-01 修回日期:2017-06-14 出版日期:2017-06-30 发布日期:2017-06-30
通讯作者: 董欧洲 E-mail:ozdong@bupt.edu.cn
基金资助:
国家863课题计划;国家自然科学基金重点项目

Quality of experience evaluation of HTTP video streaming based on user interactive behaviors

Received:2016-12-01 Revised:2017-06-14 Online:2017-06-30 Published:2017-06-30
Contact: Ou-Zhou DONG E-mail:ozdong@bupt.edu.cn
Supported by:
;National Science Foundation of China

摘要/Abstract

摘要： User interactive behaviors play a dual role during the hypertext transfer protocol (HTTP) video service: reflection and influence. However, they are seldom taken into account in practices. To this end, this paper puts forward the user interactive behaviors, as subjective factors of quality of experience (QoE) from viewer level, to structure a comprehensive multilayer evaluation model based on classic network quality of service (QoS) and application QoS. First, dual roles of user behaviors are studied and the characteristics are extracted where the user experience is correlated with user interactive behaviors. Furthermore, we categorize QoE factors into three dimensions and build the metric system. Then we perform the subjective tests and investigate the relationships among network path quality, user behaviors, and QoE. Ultimately, we employ the back propagation neural network (BPNN) to validate our analysis and model. Through the simulation experiment of mathematical and BPNN, the dual effects of user interaction behaviors on the reflection and influence of QoE in the video stream are analyzed, and the QoE metric system and evaluation model are established.

关键词: HTTP video streaming, QoE, user interactive behaviors, BPNN

Abstract: User interactive behaviors play a dual role during the hypertext transfer protocol (HTTP) video service: reflection and influence. However, they are seldom taken into account in practices. To this end, this paper puts forward the user interactive behaviors, as subjective factors of quality of experience (QoE) from viewer level, to structure a comprehensive multilayer evaluation model based on classic network quality of service (QoS) and application QoS. First, dual roles of user behaviors are studied and the characteristics are extracted where the user experience is correlated with user interactive behaviors. Furthermore, we categorize QoE factors into three dimensions and build the metric system. Then we perform the subjective tests and investigate the relationships among network path quality, user behaviors, and QoE. Ultimately, we employ the back propagation neural network (BPNN) to validate our analysis and model. Through the simulation experiment of mathematical and BPNN, the dual effects of user interaction behaviors on the reflection and influence of QoE in the video stream are analyzed, and the QoE metric system and evaluation model are established.

Key words: HTTP video streaming, QoE, user interactive behaviors, BPNN

中图分类号:

TP393

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Quality of experience evaluation of HTTP video streaming based on user interactive behaviors

Quality of experience evaluation of HTTP video streaming based on user interactive behaviors

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