A Prospect of Interdisciplinary Methodology of QoE Assessment

Conference paper
First Online:
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 612)

Abstract

With the development of streaming media service, Quality of Experience (QoE) has become the key competency for those content providers to attract customers. Many researches on QoE assessment have been conducted, but most of them had problems that those subjective experiments are difficult to be regulated and the data is not collected uniformly because of long tail effect. The purpose of this paper is to give a review of QoE assessment, which includes the concept of QoE, the influential factors, the approaches of experiment and QoE analysis and evaluation. Through the survey which shows the development of the QoE assessment, this paper indicates the future trends and challenges. Based on such current challenges and future analysis, an experiment-oriented methodology of QoE assessment is raised by conceptual model description. Also, those technologies which are based on different subjects including communication study and psychology study for supporting the methodology are described. The problems of small data volume, long tail phenomenon in QoE experiments and influence of malicious feedback will be solved by implementation of the personal QoE assessment methodology.

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Notes

Acknowledgements

This work was supported by the National Nature Science Foundation of China (61372113) and the 863 Project No. 2014AA01A706.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mengyu Gao
    • 1
  • Wen’an Zhou
    • 1
  • Zheng Hu
    • 1
  • Wenji Zhang
    • 1
  1. 1.School of Computer ScienceBeijing University of Posts and TelecommunicationsBeijingChina

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