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Saliency based objective quality assessment of decoded video affected by packet losses

机译:由数据包损失影响的解码视频的显着性目标质量评估

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In this work, we propose a novel saliency-based objective quality assessment metric, for assessing the perceptual quality of decoded video sequences affected by packet loses. The proposed method weights the error at each pixel by the visual saliency of the pixel. Different weighting methods are explored and compared. Our test results show that the predicted scores by the proposed metrics correlate very well with mean subjective scores, significantly better than the mean square error (MSE), mean absolute difference (MAD) or structure similarity (SSIM).
机译:在这项工作中,我们提出了一种新的基于显着的目标质量评估指标,用于评估受包丢失影响的解码视频序列的感知质量。所提出的方法通过像素的视觉显着性来重量每个像素处的误差。探索和比较不同的加权方法。我们的测试结果表明,所提出的指标的预测分数与平均主观分数非常好,显着优于平均方误差(MSE),平均绝对差(MAD)或结构相似度(SSIM)。

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