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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3C9UJJ2
Repositorysid.inpe.br/sibgrapi/2012/07.15.21.45
Last Update2012:07.17.21.57.15 virginiafernandesmota@gmail.com
Metadatasid.inpe.br/sibgrapi/2012/07.15.21.45.37
Metadata Last Update2020:02.19.02.18.28 administrator
Citation KeyFernandesMotaAlBeMaPrGo:2012:TeBaOp
TitleA tensor based on optical flow for global description of motion in videos
FormatDVD, On-line.
Year2012
Access Date2021, Jan. 28
Number of Files1
Size273 KiB
Context area
Author1 Fernandes Mota, Virginia
2 Almeida Perez, Ede
3 Bernardes Vieira, Marcelo
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
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: virginiafernandesmota@gmail.com -> administrator :: 2012
2020-02-19 02:18:28 :: administrator -> :: 2012
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
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.
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data URLhttp://urlib.net/rep/8JMKD3MGPBW34M/3C9UJJ2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9UJJ2
Languageen
Target File102210.pdf
User Groupvirginiafernandesmota@gmail.com
Visibilityshown
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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