VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation
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 v...
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creator | de Avila, S. da Luz, A. de Araujo, A. Cord, M. |
description | 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. |
doi_str_mv | 10.1109/SIBGRAPI.2008.31 |
format | Conference Proceeding |
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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.</description><subject>Feature extraction</subject><subject>Histograms</subject><subject>Image color analysis</subject><subject>keyframes</subject><subject>quantitative evaluation</subject><subject>Redundancy</subject><subject>Streaming media</subject><subject>Video sequences</subject><subject>video summarization</subject><subject>Visualization</subject><issn>1530-1834</issn><issn>2377-5416</issn><isbn>0769533582</isbn><isbn>9780769533582</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjktLw0AUhQcfYFvdC27mDyTeO-9xF0uthRarsd2WyWSCkTYpeRT01xvU1YHvcD4OIbcIMSLY-3TxOH9L1ouYAZiY4xkZMa51JAWqczIGrazkXBp2QUYoOURouLgi47b9BEBrlRmR9TbdrFYPNKlocjw2tfMftKgbmvRdfXBd6em2zENN0_5wcE35PaC6oq7K6Wvvqq7sBnAKdHZy-_63uyaXhdu34eY_J2TzNHufPkfLl_limiwjzxjrIumY8dKiAa6UFLlkJs_yTGccg1dMo9cOgAOXwvGsKACGgfFotXGFFYpPyN2ftwwh7I5NOdz72onBhcLyH1lYT4A</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>de Avila, S.</creator><creator>da Luz, A.</creator><creator>de Araujo, A.</creator><creator>Cord, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200810</creationdate><title>VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation</title><author>de Avila, S. ; da Luz, A. ; de Araujo, A. ; Cord, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c222t-5a28c5918036654d528dbdb7b31ec6271c7a0030354a3bff00a288c1978af9463</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Feature extraction</topic><topic>Histograms</topic><topic>Image color analysis</topic><topic>keyframes</topic><topic>quantitative evaluation</topic><topic>Redundancy</topic><topic>Streaming media</topic><topic>Video sequences</topic><topic>video summarization</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>de Avila, S.</creatorcontrib><creatorcontrib>da Luz, A.</creatorcontrib><creatorcontrib>de Araujo, A.</creatorcontrib><creatorcontrib>Cord, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Avila, S.</au><au>da Luz, A.</au><au>de Araujo, A.</au><au>Cord, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation</atitle><btitle>2008 XXI Brazilian Symposium on Computer Graphics and Image Processing</btitle><stitle>SIBGRA</stitle><date>2008-10</date><risdate>2008</risdate><spage>103</spage><epage>110</epage><pages>103-110</pages><issn>1530-1834</issn><eissn>2377-5416</eissn><isbn>0769533582</isbn><isbn>9780769533582</isbn><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><pub>IEEE</pub><doi>10.1109/SIBGRAPI.2008.31</doi><tpages>8</tpages></addata></record> |
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ispartof | 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing, 2008, p.103-110 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Feature extraction Histograms Image color analysis keyframes quantitative evaluation Redundancy Streaming media Video sequences video summarization Visualization |
title | VSUMM: An Approach for Automatic Video Summarization and Quantitative Evaluation |
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