CGVQM is a full-reference video quality metric that predicts perceptual differences between pairs of videos. Like PSNR and SSIM, it compares a ground-truth reference to a distorted version (e.g.
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Abstract: We introduce VStab-QuAD, a novel Video-Stabilization Quality Assessment Database, consisting of 320 stabilized video sequences obtained from 64 unstable video sequences with different ...
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