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Proceedings Paper

New metric to detect wipes and other gradual transitions in video
Author(s): Stuart J. Golin
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Paper Abstract

This paper proposes a metric sensitive to evolutionary changes in video, responding strongly to systematic changes, and weakly to 'random' object motion. The metric was developed to assist in the detection of gradual transitions between two video shots, which is the focus of the paper. The metric presupposes quantities that vary monotonically with the relative fraction of two video shots, such as the bins of a color histogram for an 'ideal' wipe, or the pixel values for an 'ideal' dissolve. Common dissimilarity measures based on these quantities, such as their L2-norm, have a very useful property: Dnet, the net dissimilarity between two frames in the transition region, is much larger than Dcum, the cumulative dissimilarity between all adjacent frames between those two frames. The proposed metric is the Video-Evolution Ratio (VER): Dnet/Dcum. The VER is derived for some ideal cases. In this paper, the VER is based on histograms. As such, it is particularly sensitive to wipes, but it is also sensitive to most dissolves, fades, and cuts. It can detect gradual transitions between very similar shots.

Paper Details

Date Published: 28 December 1998
PDF: 11 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334656
Show Author Affiliations
Stuart J. Golin, Sarnoff Corp. (United States)


Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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