Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyPatrocínioJúniorGuimPaul:2007:BiGrMa
TitleBipartite graph matching for video clip localization
FormatPrinted, On-line.
Access Date2021, Jan. 25
Number of Files1
Size892 KiB
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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 :: -> 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
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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