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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJ69JP
Repositorysid.inpe.br/sibgrapi/2017/09.05.00.08
Last Update2017:09.05.00.08.16 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.05.00.08.16
Metadata Last Update2022:05.18.22.18.24 (UTC) administrator
Citation KeyMartinsAlmePapa:2017:ViPrAn
TitleVideo processing and analysis through Optimum-Path Forest
FormatOn-line
Year2017
Access Date2025, July 11
Number of Files1
Size226 KiB
2. Context
Author1 Martins, Guilherme Brandão
2 Almeida, Jurandy
3 Papa, João Paulo
Affiliation1 São Paulo State University
2 Federal University of São Paulo
3 São Paulo State University
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressgui.bmartins3@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2017-09-05 00:08:16 :: gui.bmartins3@gmail.com -> administrator ::
2022-05-18 22:18:24 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsvideo summarization
clustering
optimum-path forest
AbstractCurrently, a number of improvements related to computational networks and data storage technologies have allowed a considerable amount of digital content to be provided on the Internet, mainly through social networks. In order to exploit this context, video processing and pattern recognition approaches have received a considerable attention in the last years. The main goal of this work is to employ the OptimumPath Forest classifier in both video summarization and video genre classification processes as well as to conduct a viability study of such classifier in the aforementioned contexts. The resultshave shown this classifier can achieve promising performances, being very close in terms of summary quality and consistent recognition rates to some state-of-the-art video summarization and video genre classification approaches, respectively.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Video processing and...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJ69JP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJ69JP
Languageen
Target FilePaper_Martins_SIBGRAPI2017_WTD.pdf
User Groupgui.bmartins3@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 50
sid.inpe.br/banon/2001/03.30.15.38.24 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume


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