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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S3HG65
Repositorysid.inpe.br/sibgrapi/2018/10.18.12.41
Last Update2018:10.18.12.41.19 (UTC) raquel1908@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.18.12.41.19
Metadata Last Update2022:05.18.22.18.33 (UTC) administrator
Citation KeyAlmeidaJrGuim:2018:CaStHu
TitleExploring Feature Distribution to Create Mid-level Representations: A Case Study in Human Action Recognition
FormatOn-line
Year2018
Access Date2024, Apr. 28
Number of Files1
Size1231 KiB
2. Context
Author1 Almeida, Raquel
2 Jr. , Zenilton K. G. do Pratrocínio
3 Guimarães, Silvio Jamil F.
Affiliation1 Pontifical Catholic University of Minas Gerais
2 Pontifical Catholic University of Minas Gerais
3 Pontifical Catholic University of Minas Gerais
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressraquel1908@gmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2018-10-18 12:41:19 :: raquel1908@gmail.com -> administrator ::
2022-05-18 22:18:33 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsdata representation
mid-level
bag-of-words
human action recognition
AbstractData representation is a critical task in many areas of computational studies, particularly in the case of visual data representation, in which subtleties can undermine the perception and interpretation of the visual content. In this study, it is proposed strategies to exploit visual mid-level representations, aiming to transform the detailed description extracted directly from the visual media into a simplified and discriminative representation. More specifically, the proposed strategies are delineated in Bag-of-Words mid-level representation model and are used to aggregate distribution information within partitions and regions of interest on feature space. Experiments on three well-known public datasets, namely, KTH, UCF Sports and UCF 11, demonstrated that feature points spatial distribution information is useful to create more discriminative representations. All three proposed representations were published and outperform, in terms of recognition rate, conventional strategies on BoW model and are, in many cases, superior or comparable with the state-of-the-art.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2018 > Exploring Feature Distribution...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S3HG65
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S3HG65
Languageen
Target FilepaperID5.pdf
User Groupraquel1908@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 8
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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