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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15-213 lectures are presented by Prof. Brian Railing (bpr) or Prof. Phillip Gibbons (pbg) as indicated in the schedule. 14-513 lectures are presented by Prof. David Varodayan (Videos are available ...