Journal of South China University of Technology(Natural Science Edition) ›› 2012, Vol. 40 ›› Issue (4): 64-70,78.

• Computer Science & Technology • Previous Articles     Next Articles

A Two-Domain No-Reference Video Quality Assessment Algorithm

Lin Xiang-yu  Chen Yao-wu   

  1. Institute of Advanced Digital Technology and Instrumentation,Zhejiang University,Hangzhou 310027,Zhejiang,China
  • Received:2011-11-08 Revised:2012-01-31 Online:2012-04-25 Published:2012-03-01
  • Contact: 林翔宇(1983-) ，男，博士生，主要从事视频编解码及质量评价研究． E-mail:linxiangyu@zju.edu.cn
  • About author:林翔宇(1983-) ，男，博士生，主要从事视频编解码及质量评价研究．
  • Supported by:

    国家科技支撑计划项目( 2009BAF39B03) ; 国家自然科学基金仪器专项资助项目( 40927001) ; 浙江大学中央高校基本科研业务费专项资金资助项目

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Abstract:

In order to improve the accuracy and reduce the computational complexity of video quality assessment,a two-domain no-reference video quality assessment algorithm is proposed. In this algorithm,first,encoding information is extracted from the bitstream and video similarity is calculated according to the complexity of video contents in the compressed domain. Then,by taking into consideration the characteristics of human visual system,the video distortion is calculated by measuring the influence of blockiness and the blur artifacts in the pixel domain. Thus,the video quality is assessed according to the video similarity and the video distortion. The proposed algorithm is finally tested on the LIVE Video Quality Database. The results show that the proposed algorithm,which possess a prediction accuracy and a monotonicity respectively up to 0.8013 and 0.7861,is better than the existing ten video quality assessment techniques,and that it meets the requirements of real-time application because it is of low computational complexity.

Key words: video quality, no-reference assessment algorithm, video similarity, video distortion, human visual system