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		<doi>10.1109/SIBGRAPI.2001.963069</doi>
		<citationkey>GuimarãesCoupLeitAraú:2001:MeCuDe</citationkey>
		<title>A method for cut detection based on visual rhythm</title>
		<year>2001</year>
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		<author>Guimarães, Silvio Jamil Ferzoli,</author>
		<author>Couprie, Michel,</author>
		<author>Leite, Neucimar Jerônimo,</author>
		<author>Araújo, Arnaldo de Albuquerque,</author>
		<editor>Borges, Leandro Díbio,</editor>
		<editor>Wu, Shin-Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)</conferencename>
		<conferencelocation>Florianópolis, SC, Brazil</conferencelocation>
		<date>15-18 Oct. 2001</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>297-304</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
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		<keywords>cut detection, visual rhythm, digital topology, mathematical morphology, video retrieval.</keywords>
		<abstract>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.</abstract>
		<language>en</language>
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		<notes>The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.</notes>
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