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基于可见损伤持续时间贝叶斯网络的视频QoE评估方法

耿杨 邵苏杰 郭少勇 喻鹏

通信学报2017,Vol.38Issue(6):136-141,6.
通信学报2017,Vol.38Issue(6):136-141,6.DOI:10.11959/j.issn.1000-436x.2017122

基于可见损伤持续时间贝叶斯网络的视频QoE评估方法

Bayesian network-based video QoE assessment method using image sustained damage analysis

耿杨 1邵苏杰 1郭少勇 1喻鹏1

作者信息

  • 1. 北京邮电大学网络与交换技术国家重点实验室,北京100876
  • 折叠

摘要

Abstract

At present, the influence of the image sustained damage is often neglected in the objective method of the qual-ity of user experience in video service. In view of this problem, the effect of the visible duration of visual impairment on the quality of the user experience was discussed. At the same time, the objective reason of continuous damage was ana-lyzed, and a Bayesian network was constructed which included hierarchical objective index and subjective evaluation re-sult. On this basis, a no-reference evaluation method for the quality of video service experience was proposed, and the accuracy of the method is verified by subjective test.

关键词

视频体验质量/贝叶斯网络/显示持续损伤

Key words

video QoE/Bayesian network/image sustained damage

分类

信息技术与安全科学

引用本文复制引用

耿杨,邵苏杰,郭少勇,喻鹏..基于可见损伤持续时间贝叶斯网络的视频QoE评估方法[J].通信学报,2017,38(6):136-141,6.

基金项目

国家科技支撑计划基金资助项目(No.2015BAG10B00)The National Key Technology R&D Program (No.2015BAG10B00) (No.2015BAG10B00)

通信学报

OA北大核心CSCDCSTPCD

1000-436X

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