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A novel objective no-reference metric for digital video quality assessment

机译:一种新颖的客观无参考指标,用于数字视频质量评估

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摘要

A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual system, the spatial distortion of an image is predicted using the differences between the corresponding translational regions of high spatial complexity in two adjacent images, which are weighted according to temporal activities of the video. The overall video quality is measured by pooling the spatial distortions of all images in the video. Experiments using reconstructed video sequences indicate that the objective scores obtained by the proposed metric agree well with the subjective assessment scores.
机译:提出了一种新颖的客观无参考指标,用于评估包含自然场景的数字编码视频的视频质量。考虑到视频的相邻图像之间的时间依赖性和人类视觉系统的特征,使用两个相邻图像中具有较高空间复杂度的相应平移区域之间的差异来预测图像的空间失真,并根据视频的临时活动。通过汇总视频中所有图像的空间失真来衡量整体视频质量。使用重构的视频序列进行的实验表明,通过提出的指标获得的客观分数与主观评估分数非常吻合。

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