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Reference TypeConference Proceedings
Identifier6qtX3pFwXQZG2LgkFdY/LPfUC
Repositorysid.inpe.br/sibgrapi@80/2006/07.20.16.38
Metadatasid.inpe.br/sibgrapi@80/2006/07.20.16.38.31
Sitesibgrapi.sid.inpe.br
Citation KeyCámaraChávezCorPrePhiAlb:2006:ViSeSu
Author1 Cámara Chávez, Guillermo
2 Cord, Matthieu
3 Precioso, Frederic
4 Philipp-Foliguet, Sylvie
5 de Albuquerque Araújo, Arnaldo
Affiliation1 Equipe Traiment des Images et du Signal - ENSEA
2 Equipe Traiment des Images et du Signal - ENSEA
3 Equipe Traiment des Images et du Signal - ENSEA
4 Equipe Traiment des Images et du Signal - ENSEA
5 Departamento de Ciência da Computação - UFMG
TitleVideo Segmentation by Supervised Learning
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Year2006
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Book TitleProceedings
Date8-11 Oct. 2006
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationManaus
Keywordsvideo segmentation, cut detection, supervised learning.
AbstractIn most of video shot boundary detection algorithms, proposed in the literature, several parameters and thresholds have to be set in order to achieve good results. In this paper, to get rid of parameters and thresholds, we explore a supervised classification method for video shot segmentation. We transform the temporal segmentation into a class categorization issue. Our approach defines a uniform framework for combining different kinds of features extracted from the video. Our method does not require any pre-processing step to compensate motion or post-processing filtering to eliminate false detected transitions. The experiments, following strictly the TRECVID 2002 competition protocol, provide very good results dealing with a large amount of features thanks to our kernel-based SVM classification method.
Languageen
Tertiary TypeFull Paper
FormatOn-line
Size208 KiB
Number of Files1
Target Filesibgrapi_camara_video.pdf
Last Update2006:07.20.16.38.30 sid.inpe.br/banon/2001/03.30.15.38 administrator
Metadata Last Update2020:02.19.03.17.41 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2006}
Document Stagecompleted
Is the master or a copy?is the master
e-Mail Addresschavez@ensea.fr
User Groupgcamarac administrator
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
source Directory Contentthere are no files
agreement Directory Contentthere are no files
History2006-07-20 16:38:31 :: gcamarac -> banon ::
2006-08-30 21:49:58 :: banon -> gcamarac ::
2008-07-17 14:11:03 :: gcamarac -> administrator ::
2009-08-13 20:38:09 :: administrator -> banon ::
2010-08-28 20:02:24 :: banon -> administrator ::
2020-02-19 03:17:41 :: administrator -> :: 2006
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository 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
Access Date2020, Nov. 25

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