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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MC5A58
Repositorysid.inpe.br/sibgrapi/2016/08.31.17.25
Last Update2016:08.31.17.25.00 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.31.17.25.01
Metadata Last Update2022:05.18.22.21.09 (UTC) administrator
Citation KeyCavalinFiguBaysPinh:2016:OrImSo
TitleOrganizing Images from Social Media to Monitor Real-World Events
FormatOn-line
Year2016
Access Date2024, Apr. 28
Number of Files1
Size2579 KiB
2. Context
Author1 Cavalin, Paulo
2 Figueiredo, Flavio
3 Bayser, Maira de
4 Pinhanez, Claudio
Affiliation1 IBM Research
2 IBM Research
3 IBM Research
4 IBM Research
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresspcavalin@br.ibm.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeIndustry Application Paper
History (UTC)2016-08-31 17:25:01 :: pcavalin@br.ibm.com -> administrator ::
2022-05-18 22:21:09 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsSocial Media
Image Summarization
Image Similarity
AbstractEveryday, millions of images are posted in social media websites online. Given that in social media websites there are no guarantees of image precedence and quality, making sense of social media imagery presents itself as a challenging task. In this paper, we describe the architecture of a system developed to facilitate the analysis of social media imagery. Our system combines both low-level and high-level image analytics to organize the images into a reduced and semantically-linked set that can be explored by end-users. We evaluate our system on a large dataset of images posted during major social media events such as the 2014 World Cup Finals.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Organizing Images from...
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/3MC5A58
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MC5A58
Languageen
Target FileSibgrapiWIA2016_cameraready.pdf
User Grouppcavalin@br.ibm.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 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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