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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3CF2Q5B
Repositorysid.inpe.br/sibgrapi/2012/08.15.22.27
Last Update2012:08.15.22.27.12 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/08.15.22.27.12
Metadata Last Update2022:06.14.00.07.40 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.45
Citation KeyFabianPireRoch:2012:SePeTh
TitleSearching for People through Textual and Visual Attributes
FormatDVD, On-line.
Year2012
Access Date2024, May 02
Number of Files1
Size2208 KiB
2. Context
Author1 Fabian, Junior
2 Pires, Ramon
3 Rocha, Anderson
Affiliation1 University of Campinas (Unicamp) 
2 University of Campinas (Unicamp) 
3 University of Campinas (Unicamp)
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addresspires.ramon@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:35 :: pires.ramon@gmail.com -> administrator :: 2012
2022-03-08 21:03:25 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 12:53:22 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:40 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsFace Search
Rank Fusion
Visual Dictionaries
AbstractSearching for people through their personal traits has been largely required for several areas and, consequently, has become the center of attention in the scientific community. Locating a suspect or finding missing people in a public space are some of the practical applications which take advantage of research conducted in this topic. In this paper, we propose the use of describable visual attributes (e.g, male, wear glasses, has beard), as labels that can be assigned to an image to describe its appearance. The approach is based on visual dictionaries to generate an intermediate representation for the face images. We train binary classifiers for the attributes which give to each image a score used to obtain its ranking. However, there are some attributes that have no immediate antagonistic (e.g., asian people). Then, we evaluate unary classifiers for such attributes. The method is easily extensible to new attributes. For queries consisting of more than one attribute, we use two approaches of the state-of-the-art to combine the rankings: product of probabilities and rank aggregation. Experimental results show that incorporating visual dictionaries improves the accuracy for some attributes. Furthermore, for many attributes, rank aggregation achieves better results than traditional methods of rank fusion. The proposed solution might be of interest in a forensic scenario for searching suspects in a database by means of textual descriptions provided by a victim.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Searching for People...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Searching for People...
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/8JMKD3MGPBW34M/3CF2Q5B
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3CF2Q5B
Languageen
Target FileSearching for People through Textual and Visual Attributes.pdf
User Grouppires.ramon@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 6
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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