A No-reference video quality assessment based on two-pass edge analysis and background subtraction

Xiaoyu Ma, Xiuhua Jiang
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Abstract

A novel no-reference video quality assessment is proposed in this paper. The proposed metric is based on the combination of two-pass edge analysis and background subtraction. The two-pass edge analysis is a blur metric we proposed in our previous work, which has gain an efficient performance in image blur assessment and other image processing applications. We apply the two-pass edge analysis to the video quality assessment in order to calculate the quality of each frame in the video. On the other hand, considering that one will pay his most attention on the foreground of the video. So we also apply the background subtraction to get the foreground of the video and only use these foreground to calculate the video quality. Experiments in the last section shows that our proposed no-reference metric has a good performance in the test sequences.
基于两道边缘分析和背景减法的无参考视频质量评估
提出了一种新的无参考视频质量评价方法。所提出的度量是基于两步边缘分析和背景减法的结合。两步边缘分析是我们在之前的工作中提出的一种模糊度量,在图像模糊评估和其他图像处理应用中获得了有效的性能。为了计算视频中每一帧的质量,我们将两道边缘分析应用到视频质量评估中。另一方面,考虑到一个人会把注意力集中在视频的前景上。因此,我们还使用背景减法来获得视频的前景,并仅使用这些前景来计算视频质量。最后一节的实验表明,我们提出的无参考度量在测试序列中具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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