北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2008, Vol. 31 ›› Issue (6): 1-4.doi: 10.13190/jbupt.200806.1.196

• 论文 •    下一篇

视频质量动态性指标评价及应用

徐瑞芬1 张明伟1 李永利1,2 贾林2   

  1. (1. 北京邮电大学 网络与交换国家重点实验室, 北京 100876; 2. 北京中创信测科技股份有限公司, 北京 100081)
  • 收稿日期:2008-03-14 修回日期:2008-10-10 出版日期:2008-12-31 发布日期:2008-12-31
  • 通讯作者: 贾林

Video Dynamic Evaluation for Video Quality Measurement

XU Rui-Fen1 Ming-Wei1 Zhang Yong-Li1,2 Li Lin Jia2   

  1. (1. State Key Laboratory of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Beijing Zhongchuang Telecom Test Company Limited, Beijing 100081, China)
  • Received:2008-03-14 Revised:2008-10-10 Online:2008-12-31 Published:2008-12-31
  • Contact: Lin Jia

摘要:

利用视频序列的时间相关特性, 提出一种新的视频动态性评价算法, 用于量化视频内运动信息, 为视频质量评价提供1个重要指标. 该算法是由视频序列内所有运动目标的运动速度和面积计算视频的动态性, 同时考虑人眼更关注运动对象的视觉兴趣特征, 使计算得到的视频动态性值更符合人眼的视觉感知, 进而使视频质量客观评价结果更符合主观评价结果. 仿真结果表明, 该算法能更准确地计算出视频质量的动态性指标来评价视频序列的质量.

关键词: 视频质量, 视频平滑度, 视频动态性, 视觉兴趣性

Abstract:

Making use of the temporal correlations of video frames and human visual characteristics, a new algorithm for video-dynamic evaluation is proposed, which is used to quantify motion information and evaluate video quality. Motion rate, motion area, and visual-interest-feature are integrated to calculate video-dynamic. Experimental results show that the video-dynamic metric is reliable, and is well agreed with perceived quality. It can be utilized in video quality measurement.

Key words: video quality, video smoothness, video dynamic, visual interest

中图分类号: