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A method for cut detection based on visual rhythm

Silvio Jamil Ferzoli GuimarãesMichel CouprieNeucimar Jerônimo LeiteArnaldo de Albuquerque Araújo

The visual rhythm is a simplification of the video content represented by a two-dimensional image. In this work, the video segmentation problem is transformed into a problem of pattern detection, where each video effect is transformed into a different pattern on the visual rhythm. To detect sharp video transitions (cuts) we use topological and morphological tools instead of using a dissimilarity measure. Thus, we propose a method to detect a sharp video transition between two consecutive shots. We present a comparative analysis of our method with respect to some other methods. We also propose a variant of this method to detect the position of flashes in a video.

http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/12.04.09.22

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