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		<citationkey>PatrocínioJúniorGuimPaul:2007:BiGrMa</citationkey>
		<author>Patrocínio Júnior, Zenilton Kleber Gonçalves do,</author>
		<author>Guimarães, Silvio Jamil Ferzoli,</author>
		<author>de Paula, Hugo Bastos,</author>
		<affiliation>Pontíficia Universidade Católica de Minas Gerais</affiliation>
		<affiliation>Pontíficia Universidade Católica de Minas Gerais</affiliation>
		<affiliation>Pontíficia Universidade Católica de Minas Gerais</affiliation>
		<title>Bipartite graph matching for video clip localization</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Falcão, Alexandre Xavier,</editor>
		<editor>Lopes, Hélio Côrtes Vieira,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>video clip localization, graph matching.</keywords>
		<abstract>Video clip localization consists in identifying real positions of a specific video clip in a video stream. To cope with this problem, we propose a new approach considering the maximum cardinality matching of a bipartite graph to measure  video clip similarity with a target video stream which has not been preprocessed.  We show that our approach locates edited video clips, but it does not deal with  insertion and removal of frames/shots, allowing only changes in the temporal order  of frames/shots. All experiments performed in this work have achieved 100% of precision for two different video datasets. And according to those experiments, our method can achieve a global recall rate of 90%.</abstract>
		<language>en</language>
		<tertiarytype>Full Paper</tertiarytype>
		<format>Printed, On-line.</format>
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		<targetfile>SIBGRAPI2007VIDEOMATCHING.pdf</targetfile>
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