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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EDJGRP
Repositorysid.inpe.br/sibgrapi/2013/07.05.08.50
Last Update2013:07.05.08.50.47 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.05.08.50.47
Metadata Last Update2022:06.14.00.07.43 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.53
Citation KeyPereiraPapAlmTorAmo:2013:MuLaOp
TitleA Multiple Labeling-based Optimum-Path Forest for Video Content Classification
FormatOn-line.
Year2013
Access Date2024, May 01
Number of Files1
Size307 KiB
2. Context
Author1 Pereira, Luis Augusto Martins
2 Papa, Joao Paulo
3 Almeida, Jurandy
4 Torres, Ricardo da Silva
5 Amorim, Willian Paraguassu
Affiliation1 UNESP - Univ Estadual Paulista
2 UNESP - Univ Estadual Paulista
3 University of Campinas
4 University of Campinas
5 Federal University of Mato Grosso do Sul
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addresspapa@fc.unesp.br
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-05 08:50:47 :: papa@fc.unesp.br -> administrator ::
2022-06-14 00:07:43 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsImage motion analysis
Video signal classification
multi-label learning
Optimum-Path Forest
AbstractMultiple-labeling classification approaches attempt to handle applications that associate more than one label to a given sample. Since we have an increasing number of systems that are guided by such assumption, in this paper we have presented a multiple-labeling approach for the Optimum-Path Forest (OPF) classifier based on the problem transformation method. In order to validate our proposal, a multi-labeled video classification dataset has been used to compare OPF against three other classifiers and another variant of the OPF classifier based on a k-neighborhood. The results have shown the validity of the OPF-based classifiers for multi-labeling classification problems.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > A Multiple Labeling-based...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A Multiple Labeling-based...
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source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EDJGRP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EDJGRP
Languageen
Target Filecamera_ready.pdf
User Grouppapa@fc.unesp.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 8
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark 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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