Video quality assessment using content-partitioned approach

Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (11): 158-161.

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Video quality assessment using content-partitioned approach

YAO Jie1，2, XIE Yongqiang1, TAN Jianming2, LI Dong1，3, TANG Chao2, WANG Fuhua2

1.China Electronic Equipment System Engineering Company, Beijing 100141, China
2.Military Grid Laboratory, Chongqing Communication Institute, Chongqing 400035, China
3.Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China

Online:2013-06-01 Published:2013-06-14

采用内容划分方法的视频质量评价

姚杰1，2，谢永强1，谭建明2，李东1，3，唐超2，王伏华2

1.中国电子设备系统工程公司，北京 100141
2.重庆通信学院军事网格实验室，重庆 400035
3.解放军理工大学指挥自动化学院，南京 210007

Abstract

Abstract: Current structural similarity based image quality assessment algorithm is generally the overall image quality analysis. However, different regions in image have different structural characteristics and visual perceptions, and the overall quality analysis can not reflect these differences effectively. In this view, a content-partitioned structural similarity image quality assessment algorithm is presented, which partitions an image into four regions according to their different gradient magnitudes and assesses the qualities of these regions respectively. A frame motion estimation weighted approach is used to extend this approach to video quality assessment. The experiments show that the proposed is more accurate than several modern popular algorithms.

Key words: image quality assessment, video quality assessment, structural similarity

摘要： 目前基于结构相似性的图像质量评价算法均是对图像进行整体质量分析，但图像中不同的区域存在着不同的结构特性和视觉感知特性，而对图像进行整体质量分析无法有效反应出这些差异。鉴于此，提出了一种基于内容划分的结构相似性图像质量评价算法，根据图像不同区域的变化率将图像分为4个部分，分别进行质量评价。采用运动估计的帧加权的方式将该方法扩展到视频质量评价中。实验证明了该算法与目前比较流行的几个算法相比具有较高的评价准确性。

关键词: 图像质量评价, 视频质量评价, 结构相似性

YAO Jie1，2, XIE Yongqiang1, TAN Jianming2, LI Dong1，3, TANG Chao2, WANG Fuhua2. Video quality assessment using content-partitioned approach[J]. Computer Engineering and Applications, 2013, 49(11): 158-161.

姚杰1，2，谢永强1，谭建明2，李东1，3，唐超2，王伏华2. 采用内容划分方法的视频质量评价[J]. 计算机工程与应用, 2013, 49(11): 158-161.

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Video quality assessment using content-partitioned approach

采用内容划分方法的视频质量评价

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