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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JRK52L
Repositorysid.inpe.br/sibgrapi/2015/07.13.14.36
Last Update2015:07.13.14.36.06 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.13.14.36.06
Metadata Last Update2022:05.18.22.20.58 (UTC) administrator
Citation KeyMotaDiaSanVieAra:2015:TeClHu
TitleTensor Clustering for Human Action Recognition
FormatOn-line
Year2015
Access Date2024, Apr. 29
Number of Files1
Size929 KiB
2. Context
Author1 Mota, Virginia Fernandes
2 Dias, Gabriel Dutra
3 Santos, Wisney Tadeu dos
4 Vieira, Marcelo Bernardes
5 Araújo, Arnaldo de Albuquerque
Affiliation1 NPDI/DCC/UFMG and COLTEC/UFMG
2 COLTEC/UFMG
3 COLTEC/UFMG
4 GCG/DCC/UFJF
5 NPDI/DCC/UFMG
EditorRios, Ricardo Araujo
Paiva, Afonso
e-Mail Addressvirginiafernandesmota@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-13 14:36:06 :: virginiafernandesmota@gmail.com -> administrator ::
2022-05-18 22:20:58 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsorientation tensor
tensor clustering
bag-of-features
human action recognition
AbstractIn this work, we present a new technique called Bag- of-tensors. This research aims to create a new method for video description based on tensors which takes into account the nature of the tensor and its anisotropic properties. Therefore, the Bag-of- tensors is composed by three main steps: Feature extraction with tensor creation, coding based on tensor clustering and aggregated pooling. For the task of human action recognition, we used the KTH dataset. Our experiments show that this technique is promising and interesting to be further explored.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Tensor Clustering for...
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/3JRK52L
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JRK52L
Languageen
Target Filepaper_id_13_wip2015.pdf
User Groupadministrator
virginiafernandesmota@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 5
sid.inpe.br/banon/2001/03.30.15.38.24 1
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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