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.
Abstract: Signal separation is one of the research hotspots in the field of modern signal processing. Aiming at the practical problem of unknown number of source signals, an improved blind signal ...
Abstract: This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously ...
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