Motion-Based Weak Supervision for Video Parsing with Application to Colonoscopy

10/16/2022

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by   Ori Kelner, et al.

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We propose a two-stage unsupervised approach for parsing videos into phases. We use motion cues to divide the video into coarse segments. Noisy segment labels are then used to weakly supervise an appearance-based classifier. We show the effectiveness of the method for phase detection in colonoscopy videos.