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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/Ro2h2
Repositorysid.inpe.br/sibgrapi@80/2007/09.06.19.05
Last Update2007:09.06.19.05.28 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/09.06.19.05.29
Metadata Last Update2022:06.14.00.13.41 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.35
Citation KeyPatrocínioJúniorGuimPaul:2007:BiGrMa
TitleBipartite graph matching for video clip localization
FormatPrinted, On-line.
Year2007
Access Date2024, Apr. 29
Number of Files1
Size892 KiB
2. Context
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, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:09:44 :: zenilton@pucminas.br -> administrator ::
2009-08-13 20:38:34 :: administrator -> banon ::
2010-08-28 20:02:30 :: banon -> administrator ::
2022-06-14 00:13:41 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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%.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Bipartite graph matching...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Bipartite graph matching...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/Ro2h2
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/Ro2h2
Languageen
Target FileSIBGRAPI2007VIDEOMATCHING.pdf
User Groupzenilton@pucminas.br
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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