1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3JRK52L |
Repository | sid.inpe.br/sibgrapi/2015/07.13.14.36 |
Last Update | 2015:07.13.14.36.06 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2015/07.13.14.36.06 |
Metadata Last Update | 2022:05.18.22.20.58 (UTC) administrator |
Citation Key | MotaDiaSanVieAra:2015:TeClHu |
Title | Tensor Clustering for Human Action Recognition |
Format | On-line |
Year | 2015 |
Access Date | 2024, Apr. 29 |
Number of Files | 1 |
Size | 929 KiB |
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2. Context | |
Author | 1 Mota, Virginia Fernandes 2 Dias, Gabriel Dutra 3 Santos, Wisney Tadeu dos 4 Vieira, Marcelo Bernardes 5 Araújo, Arnaldo de Albuquerque |
Affiliation | 1 NPDI/DCC/UFMG and COLTEC/UFMG 2 COLTEC/UFMG 3 COLTEC/UFMG 4 GCG/DCC/UFJF 5 NPDI/DCC/UFMG |
Editor | Rios, Ricardo Araujo Paiva, Afonso |
e-Mail Address | virginiafernandesmota@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador, BA, Brazil |
Date | 26-29 Aug. 2015 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Work in Progress |
History (UTC) | 2015-07-13 14:36:06 :: virginiafernandesmota@gmail.com -> administrator :: 2022-05-18 22:20:58 :: administrator -> :: 2015 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | orientation tensor tensor clustering bag-of-features human action recognition |
Abstract | In 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. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Tensor Clustering for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3JRK52L |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JRK52L |
Language | en |
Target File | paper_id_13_wip2015.pdf |
User Group | administrator virginiafernandesmota@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 |
Citing Item List | sid.inpe.br/sibgrapi/2015/08.03.22.49 5 sid.inpe.br/banon/2001/03.30.15.38.24 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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