Automatic extraction of representative keyframes based on scene content
Generating indices for movies is a tedious and expensive process which we seek to automate. While algorithms for finding scene boundaries are readily available, there has been little work performed on selecting individual frames to concisely represent the scene. In this paper we present novel algori...
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creator | Diklic, D. Petkovic, D. Danielson, R. |
description | Generating indices for movies is a tedious and expensive process which we seek to automate. While algorithms for finding scene boundaries are readily available, there has been little work performed on selecting individual frames to concisely represent the scene. In this paper we present novel algorithms for automated selection of representative keyframes, based on scene content. Detailed description of several algorithms is followed by an analysis of how well humans feel the selected frames represent the scene. Finally we address how these algorithms can be integrated with existing algorithms for finding scene boundaries. |
doi_str_mv | 10.1109/ACSSC.1998.751008 |
format | Conference Proceeding |
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Finally we address how these algorithms can be integrated with existing algorithms for finding scene boundaries.</description><subject>Algorithm design and analysis</subject><subject>Extraterrestrial measurements</subject><subject>Histograms</subject><subject>Humans</subject><subject>Indexing</subject><subject>Layout</subject><subject>Libraries</subject><subject>Motion pictures</subject><subject>Pixel</subject><subject>Testing</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>0780351487</isbn><isbn>9780780351486</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1Kw0AUhQd_wFj7ALqaF0icO783yxC0CgUX1XWZTG4gapKSGcW-vYH2bM7i-ziLw9g9iAJAlI9VvdvVBZQlFs6AEHjBMmmczaUS6pLdCodCGdDorlgGwmBuValu2DrGT7FEmwVCxjbVT5oGn_rA6S_NPqR-GvnU8ZkOM0Ua08J-iX_RsZv9QJE3PlLLFykGGomHaUyLdceuO_8daX3uFft4fnqvX_Lt2-a1rrZ5D06mHFESWaUbj9C2qJsghQzadK21nSChQigdBrQodQmIGlpJSkpjAWWgTq3Yw2m3J6L9Ye4HPx_3pwvUP5AJTfk</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Diklic, D.</creator><creator>Petkovic, D.</creator><creator>Danielson, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>Automatic extraction of representative keyframes based on scene content</title><author>Diklic, D. ; Petkovic, D. ; Danielson, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-882ee634ba81dd84bc202c45fd66f0e03cc978c86824918841d2e32256182cef3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Algorithm design and analysis</topic><topic>Extraterrestrial measurements</topic><topic>Histograms</topic><topic>Humans</topic><topic>Indexing</topic><topic>Layout</topic><topic>Libraries</topic><topic>Motion pictures</topic><topic>Pixel</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Diklic, D.</creatorcontrib><creatorcontrib>Petkovic, D.</creatorcontrib><creatorcontrib>Danielson, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Diklic, D.</au><au>Petkovic, D.</au><au>Danielson, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Automatic extraction of representative keyframes based on scene content</atitle><btitle>Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)</btitle><stitle>ACSSC</stitle><date>1998</date><risdate>1998</risdate><volume>1</volume><spage>877</spage><epage>881 vol.1</epage><pages>877-881 vol.1</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>0780351487</isbn><isbn>9780780351486</isbn><abstract>Generating indices for movies is a tedious and expensive process which we seek to automate. While algorithms for finding scene boundaries are readily available, there has been little work performed on selecting individual frames to concisely represent the scene. In this paper we present novel algorithms for automated selection of representative keyframes, based on scene content. Detailed description of several algorithms is followed by an analysis of how well humans feel the selected frames represent the scene. Finally we address how these algorithms can be integrated with existing algorithms for finding scene boundaries.</abstract><pub>IEEE</pub><doi>10.1109/ACSSC.1998.751008</doi></addata></record> |
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identifier | ISSN: 1058-6393 |
ispartof | Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 1998, Vol.1, p.877-881 vol.1 |
issn | 1058-6393 2576-2303 |
language | eng |
recordid | cdi_ieee_primary_751008 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithm design and analysis Extraterrestrial measurements Histograms Humans Indexing Layout Libraries Motion pictures Pixel Testing |
title | Automatic extraction of representative keyframes based on scene content |
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