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Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeyFernandesMotaAlBeMaPrGo:2012:TeBaOp
TitleA tensor based on optical flow for global description of motion in videos
FormatDVD, On-line.
Access Date2021, Jan. 28
Number of Files1
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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
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
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 :: -> administrator :: 2012
2020-02-19 02:18:28 :: administrator -> :: 2012
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Is the master or a copy?is the master
Content Stagecompleted
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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