1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/38985UH |
Repository | sid.inpe.br/sibgrapi/2010/09.15.22.37 |
Last Update | 2010:09.15.22.37.48 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2010/09.15.22.37.49 |
Metadata Last Update | 2022:07.30.18.33.19 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2010.38 |
Citation Key | SouzaChávJrAraú:2010:ViDeVi |
Title | Violence Detection in Video Using Spatio-Temporal Features |
Format | Printed, On-line. |
Year | 2010 |
Access Date | 2024, May 01 |
Number of Files | 1 |
Size | 907 KiB |
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2. Context | |
Author | 1 Souza, Fillipe Dias Moreira de 2 Chávez, Guillermo Cámara 3 Jr. , Eduardo Alves do Valle 4 Araújo, Arnaldo de Albuquerque |
Affiliation | 1 Federal University of Minas Gerais 2 Federal University of Ouro Preto 3 University of Campinas 4 Federal University of Minas Gerais |
Editor | Bellon, Olga Esperança, Claudio |
e-Mail Address | fdms@dcc.ufmg.br |
Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 30 Aug.-3 Sep. 2010 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-10-01 04:19:40 :: fdms@dcc.ufmg.br -> administrator :: 2010 2022-07-30 18:33:19 :: administrator -> :: 2010 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | violence detection spatio-temporal features bags of visual words SVM |
Abstract | In 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Violence Detection in... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Violence Detection in... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/38985UH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/38985UH |
Language | en |
Target File | 70763SIBGRAPI2010.pdf |
User Group | fdms@dcc.ufmg.br |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJT6B 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.20.21 9 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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