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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/38985UH
Repositorysid.inpe.br/sibgrapi/2010/09.15.22.37
Last Update2010:09.15.22.37.48 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/09.15.22.37.49
Metadata Last Update2022:07.30.18.33.19 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.38
Citation KeySouzaChávJrAraú:2010:ViDeVi
TitleViolence Detection in Video Using Spatio-Temporal Features
FormatPrinted, On-line.
Year2010
Access Date2024, May 01
Number of Files1
Size907 KiB
2. Context
Author1 Souza, Fillipe Dias Moreira de
2 Chávez, Guillermo Cámara
3 Jr. , Eduardo Alves do Valle
4 Araújo, Arnaldo de Albuquerque
Affiliation1 Federal University of Minas Gerais
2 Federal University of Ouro Preto
3 University of Campinas
4 Federal University of Minas Gerais
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressfdms@dcc.ufmg.br
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:40 :: fdms@dcc.ufmg.br -> administrator :: 2010
2022-07-30 18:33:19 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsviolence detection
spatio-temporal features
bags of visual words
SVM
AbstractIn this paper we presented a violence detector built on the concept of visual codebooks using linear support vector machines. It differs from the existing works of violence detection in what concern the data representation, as none has considered local spatio-temporal features with bags of visual words. An evaluation of the importance of local spatio-temporal features for characterizing the multimedia content is conducted through the cross-validation method. The results obtained confirm that motion patterns are crucial to distinguish violence from regular activities in comparison with visual descriptors that rely solely on the space domain.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Violence Detection in...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Violence Detection in...
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/8JMKD3MGPBW34M/38985UH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/38985UH
Languageen
Target File70763SIBGRAPI2010.pdf
User Groupfdms@dcc.ufmg.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 9
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 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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