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A video quality metric based on frame differencing

机译:基于帧差异的视频质量指标

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Assessment of visual quality is of great importance in several image and video processing applications. Various objective video quality metrics have been proposed recently to accord with the human visual perception. This paper proposes a simple and affordable objective quality metric for tracking moving objects in video streams. The proposed metric particularly takes the moving objects into account as visually important content. Foreground masks produced by frame difference-based background subtraction are incorporated as weighting function into the existing metrics. Test results show that our metrics are effective.
机译:在几种图像和视频处理应用中,视觉质量的评估非常重要。最近已经提出了各种客观的视频质量度量,以符合人类的视觉感知。本文提出了一种简单且负担得起的客观质量指标,用于跟踪视频流中的运动对象。提出的度量标准特别考虑到了移动对象作为视觉上重要的内容。通过基于帧差异的背景减法生成的前景蒙版将作为加权函数合并到现有指标中。测试结果表明,我们的指标是有效的。

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