A survey of data-driven approach on multimedia QoE evaluation

doi:10.1007/s11704-018-6342-7

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 WEI^1,², Liang ZHOU^1,²(

), 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 Author(s): 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.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-018-6342-7
https://academic.hep.com.cn/fcs/EN/Y2018/V12/I6/1060

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