Using metadata in video quality assessment based on the structural similarity (SSIM) index metric
نویسندگان
چکیده
In this paper, we propose the use of metadata to define the perceptual weight of semantically meaningful regions in video frames for video quality assessment. The proposed approach is evaluated using the structural similarity (SSIM) index metric and a comparison is made with both the unweighted approach and the luminance-based weighted approach. Experimental results demonstrate that the proposed approach leads to significantly different mean SSIM values relatively to the other methods under comparison, suggesting a better correlation with the human perceived visual quality.
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