Extended Data Fig. 2: Quantitative comparison with the state-of-the-art in motion magnification.
From: Unsupervised behaviour analysis and magnification (uBAM) using deep learning
a: mean-squared difference (white = 0) between the original query frame and its magnification using our method and the approach proposed by Oh et al.(30). For impaired subjects, our method modifies only the leg posture, while healthy subjects are not altered. Oh et al.(30) mostly changes the background and alters impaired and healthy indiscriminately. b: Measuring the fraction of frames with important deviation from healthy reference behaviour for each subject and video sequence and plotting the distribution of these scores. c, mean and standard deviation of deviation scores per cohort and approach. (Details in Supplementary).
