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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

作     者:Li Wenjing Yu Peng Wang Ruiyi Feng Lei Dong Ouzhou Qiu Xuesong 

作者机构:Institute of Network TechnologyBeijing University of Posts and Telecommunications 

出 版 物:《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报(英文版))

年 卷 期:2017年第24卷第3期

页      面:24-32页

核心收录:

学科分类:0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 08[工学] 0839[工学-网络空间安全] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:supported by the Postdoctoral Science Foundation of China (2017M610827) 

主  题:HTTP video streaming QoE user interactive behaviors BPNN 

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.

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