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Video Co-segmentation for Meaningful Action Extraction
2013
2013 IEEE International Conference on Computer Vision
Given a pair of videos having a common action, our goal is to simultaneously segment this pair of videos to extract this common action. As a preprocessing step, we first remove background trajectories by a motion-based figureground segmentation. To remove the remaining background and those extraneous actions, we propose the trajectory cosaliency measure, which captures the notion that trajectories recurring in all the videos should have their mutual saliency boosted. This requires a trajectory
doi:10.1109/iccv.2013.278
dblp:conf/iccv/GuoLCZ13
fatcat:d2n2qmdh6rexxnrgv4xdhbcuzq