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A robust multi-feature cut detection algorithm for video segmentation
2010
ELCVIA Electronic Letters on Computer Vision and Image Analysis
Video segmentation is the first task in almost all video analysis applications. It consists in identifying the boundaries of the meaningful video units (shots). Without a doubt, cuts are the most common among production effects that characterize the shot boundaries. In this paper we propose an algorithm for cut detection exploiting an innovative, robust frame difference measure. The measure is based on a combination of different visual features. To improve the precision of the cut detection
doi:10.5565/rev/elcvia.335
fatcat:6d2mhdordbblbe5v6k4kff4rfq