Feature-based hierarchical video segmentation
This paper describes a feature based, two-pass algorithm for scene break detection in video sequences. In the first pass, the camera cuts are detected on the low resolution video using histogram comparison. The gradual changes are then detected on the high resolution video based on the editing chara...
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creator | Yu, J. Bozdagi, G. Harrington, S. |
description | This paper describes a feature based, two-pass algorithm for scene break detection in video sequences. In the first pass, the camera cuts are detected on the low resolution video using histogram comparison. The gradual changes are then detected on the high resolution video based on the editing characteristics. Experimental results indicate that the proposed discontinuous cut, dissolve and fade detection method is both computationally low and robust to local changes within the sequences. |
doi_str_mv | 10.1109/ICIP.1997.638817 |
format | Conference Proceeding |
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In the first pass, the camera cuts are detected on the low resolution video using histogram comparison. The gradual changes are then detected on the high resolution video based on the editing characteristics. Experimental results indicate that the proposed discontinuous cut, dissolve and fade detection method is both computationally low and robust to local changes within the sequences.</description><identifier>ISBN: 0818681837</identifier><identifier>ISBN: 9780818681837</identifier><identifier>DOI: 10.1109/ICIP.1997.638817</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Histograms ; Layout ; Robustness ; Video sequences</subject><ispartof>Proceedings of International Conference on Image Processing, 1997, Vol.2, p.498-501 vol.2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c151t-eda7557ab50b91a2448573dafaf09e6313a1b0213e5ec205d9a2dfa7a7ab26ae3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/638817$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/638817$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yu, J.</creatorcontrib><creatorcontrib>Bozdagi, G.</creatorcontrib><creatorcontrib>Harrington, S.</creatorcontrib><title>Feature-based hierarchical video segmentation</title><title>Proceedings of International Conference on Image Processing</title><addtitle>ICIP</addtitle><description>This paper describes a feature based, two-pass algorithm for scene break detection in video sequences. In the first pass, the camera cuts are detected on the low resolution video using histogram comparison. The gradual changes are then detected on the high resolution video based on the editing characteristics. Experimental results indicate that the proposed discontinuous cut, dissolve and fade detection method is both computationally low and robust to local changes within the sequences.</description><subject>Cameras</subject><subject>Histograms</subject><subject>Layout</subject><subject>Robustness</subject><subject>Video sequences</subject><isbn>0818681837</isbn><isbn>9780818681837</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLAzEUhQNFsLbdi6v5Axlzk-a1lMHqQKFdtOtyM7ljI31IMgr-ewfqOXyc3QeHsUcQNYDwz23Tbmvw3tZGOQd2wh6EA2dGlL1ni1I-xRgnrfVmyviKcPjOxAMWitUxUcbcHVOHp-onRbpWhT7OdBlwSNfLnN31eCq0-N8Z269ed807X2_e2uZlzTvQMHCKaLW2GLQIHlAul05bFbHHXngyChRCEBIUaeqk0NGjjD3asUEaJDVjTzdvIqLDV05nzL-H2yH1B8JZQS4</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Yu, J.</creator><creator>Bozdagi, G.</creator><creator>Harrington, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Feature-based hierarchical video segmentation</title><author>Yu, J. ; Bozdagi, G. ; Harrington, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c151t-eda7557ab50b91a2448573dafaf09e6313a1b0213e5ec205d9a2dfa7a7ab26ae3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Cameras</topic><topic>Histograms</topic><topic>Layout</topic><topic>Robustness</topic><topic>Video sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Yu, J.</creatorcontrib><creatorcontrib>Bozdagi, G.</creatorcontrib><creatorcontrib>Harrington, S.</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>Yu, J.</au><au>Bozdagi, G.</au><au>Harrington, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Feature-based hierarchical video segmentation</atitle><btitle>Proceedings of International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>1997</date><risdate>1997</risdate><volume>2</volume><spage>498</spage><epage>501 vol.2</epage><pages>498-501 vol.2</pages><isbn>0818681837</isbn><isbn>9780818681837</isbn><abstract>This paper describes a feature based, two-pass algorithm for scene break detection in video sequences. In the first pass, the camera cuts are detected on the low resolution video using histogram comparison. The gradual changes are then detected on the high resolution video based on the editing characteristics. Experimental results indicate that the proposed discontinuous cut, dissolve and fade detection method is both computationally low and robust to local changes within the sequences.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.1997.638817</doi></addata></record> |
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identifier | ISBN: 0818681837 |
ispartof | Proceedings of International Conference on Image Processing, 1997, Vol.2, p.498-501 vol.2 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cameras Histograms Layout Robustness Video sequences |
title | Feature-based hierarchical video segmentation |
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