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		<doi>10.1109/SIBGRAPI.2008.31</doi>
		<citationkey>AvilaLuzJAraśCord:2008:ApAuVi</citationkey>
		<title>VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation</title>
		<format>Printed, On-line.</format>
		<year>2008</year>
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		<author>Avila, Sandra Eliza Fontes de,</author>
		<author>Luz Jr, Antonio da,</author>
		<author>Araśjo, Arnaldo de Albuquerque,</author>
		<author>Cord, Matthieu,</author>
		<affiliation>Federal University of Minas Gerais</affiliation>
		<affiliation>Federal University of Minas Gerais, Federal Technical School of Palmas</affiliation>
		<affiliation>Federal University of Minas Gerais</affiliation>
		<affiliation>Université Pierre et Marie Curie</affiliation>
		<editor>Jung, Clįudio Rosito,</editor>
		<editor>Walter, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)</conferencename>
		<conferencelocation>Campo Grande, MS, Brazil</conferencelocation>
		<date>12-15 Oct. 2008</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>video summarization, keyframes, quantitative evaluation.</keywords>
		<abstract>In this paper, we propose an approach for video summarization (VSUMM). The video summaries are generated based on visual features. A factorial experiment is designed to analyze the relative impact of the attributes. We demonstrate the validity of the VSUMM approach by testing it on a collection of videos from Open Video Project. We provide a comparison among results of the proposed summarization technique with Open Video storyboard. A subjective evaluation showed that the summaries are produced with good quality.</abstract>
		<language>en</language>
		<targetfile>avilaVSUMM.pdf</targetfile>
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