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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35THDDS
Repositorysid.inpe.br/sibgrapi@80/2009/08.26.13.07
Last Update2009:08.26.13.07.00 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.26.13.07.02
Metadata Last Update2022:07.30.18.33.28 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.32
Citation KeyLopesAvPeOlCoAr:2009:NuDeVi
TitleNude detection in video using bag-of-visual-features
FormatPrinted, On-line.
Year2009
Access Date2024, May 02
Number of Files1
Size3165 KiB
2. Context
Author1 Lopes, Ana Paula Brandão
2 Avila, Sandra Eliza Fonte de
3 Peixoto, Anderson Nunes Alves
4 Oliveira, Rodrigo Silva
5 Coelho, Marcelo de Miranda
6 Araújo, Arnaldo de Albuquerque
Affiliation1 Federal University of Minas Gerais (UFMG), State University of Santa Cruz (UESC)
2 Federal University of Minas Gerais (UFMG)
3 Federal University of Minas Gerais (UFMG)
4 Federal University of Minas Gerais (UFMG)
5 Federal University of Minas Gerais (UFMG), Preparatory School of Air Cadets (EPCAR)
6 Federal University of Minas Gerais (UFMG)
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addresssandraeliza@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:27 :: sandraeliza@gmail.com -> administrator ::
2022-07-30 18:33:28 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsnude detection
bag-of-visual-features
video classification
AbstractThe ability to filter improper content from multimedia sources based on visual content has important applications, since text-based filters are clearly insufficient against erroneous and/or malicious associations between text and actual content. In this paper, we investigate a method for detection of nudity in videos based on a bag-of-visual-features representation for frames and an associated voting scheme. Bag-of-Visual-Features (BoVF) approaches have been successfully applied to object recognition and scene classification, showing robustness to occlusion and also to the several kinds of variations that normally curse object detection methods. To the best of our knowledge, only two proposals in the literature use BoVF for nude detection in still images, and no other attempt has been made at applying BoVF for videos. Nevertheless, the results of our experiments show that this approach is indeed able to provide good recognition rates for nudity even at the frame level and with a relatively low sampling ratio. Also, the proposed voting scheme significantly enhances the recognition rates for video segments, achieving, in the best case, a value of 93.2% of correct classification, using a sampling ratio of 1/15 frames. Finally, a visual analysis of some particular cases indicates possible sources of misclassifications.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Nude detection in...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Nude 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/8JMKD3MGPBW4/35THDDS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35THDDS
Languageen
Target FilePID949976.pdf
User Groupsandraeliza@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 2
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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