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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C9UJJ2
Repositorysid.inpe.br/sibgrapi/2012/07.15.21.45
Last Update2012:07.17.21.57.15 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.15.21.45.37
Metadata Last Update2022:06.14.00.07.35 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.48
Citation KeyMotaPeViMaPrGo:2012:TeBaOp
TitleA tensor based on optical flow for global description of motion in videos
FormatDVD, On-line.
Year2012
Access Date2024, May 02
Number of Files1
Size273 KiB
2. Context
Author1 Mota, Virginia Fernandes
2 Perez, Ede Almeida
3 Vieira, Marcelo Bernardes
4 Maciel, Luiz Maurilio
5 Precioso, Frederic
6 Gosselin, Philippe-Henri
Affiliation1 Universidade Federal de Juiz de Fora 
2 Universidade Federal de Juiz de Fora 
3 Universidade Federal de Juiz de Fora 
4 Universidade Federal de Juiz de Fora 
5 Nice Sophia Antipolis University 
6 ENSEA
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addressvirginiafernandesmota@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 16:45:34 :: virginiafernandesmota@gmail.com -> administrator :: 2012
2022-03-08 21:03:24 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 12:56:45 :: menottid@gmail.com -> administrator :: 2012
2022-03-10 18:05:39 :: administrator -> banon :: 2012
2022-03-10 19:42:36 :: banon -> administrator :: 2012
2022-06-14 00:07:35 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsGlobal descriptor
Orientation tensor
SVM
Optical Flow
Motion modeling
AbstractMotion is one of the main characteristics that describe the semantic information of videos. In this work, a global video descriptor based on orientation tensors is proposed. This descriptor is obtained by combining polynomial coefficients calculated for each image in a video. The coefficients are found through the projection of the optical flow on Legendre polynomials, reducing the dimension of per frame motion estimations. The sequence of coefficients are then combined using orientation tensors. The global tensor descriptor created is evaluated by a classification of the KTH video database with a SVM classifier.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > A tensor based...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A tensor based...
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/3C9UJJ2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9UJJ2
Languageen
Target File102210.pdf
User Groupvirginiafernandesmota@gmail.com
Visibilityshown
Update Permissionnot transferred
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 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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