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Frontiers of Computer Science

Front. Comput. Sci.    2018, Vol. 12 Issue (6) : 1060-1075     https://doi.org/10.1007/s11704-018-6342-7
REVIEW ARTICLE |
A survey of data-driven approach on multimedia QoE evaluation
Ruochen HUANG1, Xin WEI1,2, Liang ZHOU1,2(), Chaoping LV1, Hao MENG1, Jiefeng JIN1
1. School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
2. National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
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Abstract

With the development of mobile communication technology and the growth of mobile device, the requirements for user quality of experience (QoE) become higher and higher. Network operators and content providers are interested in QoE evaluation for improving users’ QoE. However, multimedia QoE evaluation faces severe challenges due to the subjective properties of the QoE. In this paper, we provide a survey of the state of the art about applying data-driven approach on QoE evaluation. Firstly, we describe the way to choose factors influencing QoE. Then we investigate and discuss the strengths and shortcomings of existing machine learning algorithms for modeling and predicting users’ QoE. Finally, we describe our research work on how to evaluate QoE in imbalanced dataset.

Keywords quality of experience      data-driven      machine learning      imbalanced dataset     
Corresponding Authors: Liang ZHOU   
Just Accepted Date: 28 May 2018   Online First Date: 04 September 2018    Issue Date: 04 December 2018
 Cite this article:   
Ruochen HUANG,Xin WEI,Liang ZHOU, et al. A survey of data-driven approach on multimedia QoE evaluation[J]. Front. Comput. Sci., 2018, 12(6): 1060-1075.
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http://journal.hep.com.cn/fcs/EN/10.1007/s11704-018-6342-7
http://journal.hep.com.cn/fcs/EN/Y2018/V12/I6/1060
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Ruochen HUANG
Xin WEI
Liang ZHOU
Chaoping LV
Hao MENG
Jiefeng JIN
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