计算机应用 ›› 2011, Vol. 31 ›› Issue (08): 2232-2235.DOI: 10.3724/SP.J.1087.2011.02232

• 图形图像技术 • 上一篇    下一篇

变权无参考视频质量评价模型

王海峰1,2   

  1. 1. 临沂大学 信息学院,山东 临沂276002
    2. 上海理工大学 管理学院,上海200093
  • 收稿日期:2011-03-04 修回日期:2011-04-23 发布日期:2011-08-01 出版日期:2011-08-01
  • 通讯作者: 王海峰
  • 作者简介:王海峰(1976-),男,山东临沂人,博士研究生,主要研究方向:多媒体技术、网络计算。
  • 基金资助:

    上海市重点学科建设项目(S30501)

Video quality evaluation model of variable weight no-reference

Hai-feng WANG1,2   

  1. 1. School of Information, Linyi University, Linyi Shandong 276002, China
    2. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2011-03-04 Revised:2011-04-23 Online:2011-08-01 Published:2011-08-01
  • Contact: Hai-feng WANG

摘要: 由于视频图像在传输过程中信道噪声将导致质量下降,在无需增加传输信息的前提下客观无参评价方法可实现视频质量的自动评估,因此成为一个重要研究课题。为了提高无参考评价方法准确性,提出了符合人类视觉特性的变权评价模型,综合考虑空域中的清晰度和时域中的平滑度两类指标,利用视频内容的运动信息控制权重变化,模型评价结果与主观评价符合度高,简单相关系数为0.85。实验结果表明,符合视觉特性的连续变权方法比固定权值模型准确,计算复杂度比同类研究方案小,具有更大的应用价值。

关键词: 视频质量评价, 人类视觉系统, 视频平滑度, 变权

Abstract: Transmitting video through network might suffer from impairments introduced by packet losses. No-reference evaluation method can automatically predict the quality of video without any other loader for transmission channel. Therefore, video quality monitoring is an import task. To improve the accuracy of no-reference video quality evaluation, a new variable weight evaluation model was proposed. Video features both in spatial domain and in temporal domain were included in the evaluation model. It could adjust its weight in real-time by using the motion vectors. The evaluation model obtained good linear correlation, and the simple correlation coefficient equals 0.85. The experimental results show that variable weight evaluation method works better than the fixed one. It has lower computational complexity and higher value in application than other similar researches.

Key words: video quality evaluation, Human Visual System (HVS), Video smoothness, variable weight

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