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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/09.06.19.05
Last Update2007:09.06.19.05.28 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/09.06.19.05.29
Metadata Last Update2020:02.19.03.06.19 administrator
Citation KeyPatrocínioJúniorGuimPaul:2007:BiGrMa
TitleBipartite graph matching for video clip localization
FormatPrinted, On-line.
Year2007
Access Date2021, Jan. 25
Number of Files1
Size892 KiB
Context area
Author1 Patrocínio Júnior, Zenilton Kleber Gonçalves do
2 Guimarães, Silvio Jamil Ferzoli
3 de Paula, Hugo Bastos
Affiliation1 Pontíficia Universidade Católica de Minas Gerais
2 Pontíficia Universidade Católica de Minas Gerais
3 Pontíficia Universidade Católica de Minas Gerais
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
DateOct. 7-10, 2007
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2008-07-17 14:09:44 :: zenilton@pucminas.br -> administrator ::
2009-08-13 20:38:34 :: administrator -> banon ::
2010-08-28 20:02:30 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsvideo clip localization, graph matching.
AbstractVideo 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%.
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data URLhttp://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/09.06.19.05
zipped data URLhttp://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/09.06.19.05
Languageen
Target FileSIBGRAPI2007VIDEOMATCHING.pdf
User Groupzenilton@pucminas.br
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Visibilityshown
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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