Best-effort service QoE assessment using visual information based Weber-Fechner law

中国邮电高校学报(英文) ›› 2016, Vol. 23 ›› Issue (2): 38-45.doi:

Best-effort service QoE assessment using visual information based Weber-Fechner law

管婉青¹,王鲁晗²,路兆铭¹,温向明¹,陈昕

收稿日期:2015-09-23 修回日期:2016-01-20 出版日期:2016-04-28 发布日期:2016-04-28
通讯作者: 管婉青 E-mail:guanwanqing95@163.com
基金资助:
北京市科技计划课题项目

Best-effort service QoE assessment using visual information based Weber-Fechner law

Received:2015-09-23 Revised:2016-01-20 Online:2016-04-28 Published:2016-04-28
Contact: Wan-Qing GUAN E-mail:guanwanqing95@163.com
Supported by:
Beijing Municipal Science and technology Commission research fund project

摘要/Abstract

摘要： Quality of experience (QoE) has been one of the most important factors for service providers and operators to develop and deploy services. Previous works have shown that Weber-Fechner law (WFL) can be used to promote the accuracy of best-effort (BE) services’ QoE assessment. In this paper, based on WFL, we take a deep insight into the visual information of BE services and its role in WFL, especially in web browsing services, and propose an enhanced QoE assessment model for BE services by taking the visual information into account. Both images and texts visual information are extracted and combined to get the visual information for web pages. Finally, a subjective experiment is performed to validate performance of proposed QoE assessment model, which shows that it performs better than traditional WFL based model.

关键词: QoE assessment, Weber-Fechner law, best-effort service, visual information

Abstract: Quality of experience (QoE) has been one of the most important factors for service providers and operators to develop and deploy services. Previous works have shown that Weber-Fechner law (WFL) can be used to promote the accuracy of best-effort (BE) services’ QoE assessment. In this paper, based on WFL, we take a deep insight into the visual information of BE services and its role in WFL, especially in web browsing services, and propose an enhanced QoE assessment model for BE services by taking the visual information into account. Both images and texts visual information are extracted and combined to get the visual information for web pages. Finally, a subjective experiment is performed to validate performance of proposed QoE assessment model, which shows that it performs better than traditional WFL based model.

Key words: QoE assessment, Weber-Fechner law, best-effort service, visual information

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Best-effort service QoE assessment using visual information based Weber-Fechner law

Best-effort service QoE assessment using visual information based Weber-Fechner law

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