Development and Challenges of Crowdsourcing Quality of Experience Evaluation for Multimedia

被引：1
作者：
Wang, Zhenji [1 ]
Tao, Dan [1 ,2 ]
Liu, Pingping [2 ,3 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Jilin Univ, Key Lab Symbol Computat & Knowledge Engn, Minist Educ, Changchun 130012, Jilin, Peoples R China
[3] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China
来源：
BIG DATA COMPUTING AND COMMUNICATIONS | 2015年 / 9196卷
关键词：
Crowdsourcing; Quality of Experience; QoE; QoE evaluation; Multimedia;
D O I：
10.1007/978-3-319-22047-5_36
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Crowdsourcing quality of experience (QoE) evaluation for multimedia are more cost effective and flexible than traditional in-lab evaluations, and it has gradually caused extensive concern. In this paper, we start from the concept, characteristics and challenges of crowdsourcing QoE evaluation for multimedia, and then summarize the current research progresses including some key technologies in a crowdsourceable QoE evaluation framework. Finally, we point out the open research problems to be solved and the future trends.
引用
收藏
页码：444 / 452
页数：9
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