Video analysis platform

Flores-Guridi, Pablo - Lecumberry, Federico - Arias, Pablo - Pardo, Alvaro

Resumen:

In this article we present the Video Analysis Platform (VAP) which is an open source software framework for video analysis, processing and description. The main goals of VAP are: to provide a multiplatform system which allows the easy implementation of video algorithms, provide structures and algorithms for the segmentation of video data in its different levels of abstraction: shots, frames, objects, regions, etc, permit the generation and comparison of MPEG7-like descriptors, and develop testing applications for shot detection, shot matching, object segmentation and tracking, etc.


Detalles Bibliográficos
2006
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/38698
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Flores-Guridi, Pablo
author2 Lecumberry, Federico
Arias, Pablo
Pardo, Alvaro
author2_role author
author
author
author_facet Flores-Guridi, Pablo
Lecumberry, Federico
Arias, Pablo
Pardo, Alvaro
author_role author
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collection COLIBRI
dc.creator.none.fl_str_mv Flores-Guridi, Pablo
Lecumberry, Federico
Arias, Pablo
Pardo, Alvaro
dc.date.accessioned.none.fl_str_mv 2023-08-01T20:33:23Z
dc.date.available.none.fl_str_mv 2023-08-01T20:33:23Z
dc.date.issued.es.fl_str_mv 2006
dc.date.submitted.es.fl_str_mv 20230801
dc.description.abstract.none.fl_txt_mv In this article we present the Video Analysis Platform (VAP) which is an open source software framework for video analysis, processing and description. The main goals of VAP are: to provide a multiplatform system which allows the easy implementation of video algorithms, provide structures and algorithms for the segmentation of video data in its different levels of abstraction: shots, frames, objects, regions, etc, permit the generation and comparison of MPEG7-like descriptors, and develop testing applications for shot detection, shot matching, object segmentation and tracking, etc.
dc.description.es.fl_txt_mv Trabajo presentado en el Congreso Argentino de Ciencias de la Computación. CACIC 2006
dc.identifier.citation.es.fl_str_mv Flores, P., Lecumberry, F., Arias, P., Pardo, A. Video analysis platform [Preprint] Publicado en Actas del 12vo. Congreso Argentino de Ciencias de la Computación, CACIC 2006, San Luis, Argentina, 2006.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/38698
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.title.none.fl_str_mv Video analysis platform
dc.type.es.fl_str_mv Preprint
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description Trabajo presentado en el Congreso Argentino de Ciencias de la Computación. CACIC 2006
eu_rights_str_mv openAccess
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identifier_str_mv Flores, P., Lecumberry, F., Arias, P., Pardo, A. Video analysis platform [Preprint] Publicado en Actas del 12vo. Congreso Argentino de Ciencias de la Computación, CACIC 2006, San Luis, Argentina, 2006.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
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language_invalid_str_mv en
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publishDate 2006
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling 2023-08-01T20:33:23Z2023-08-01T20:33:23Z200620230801Flores, P., Lecumberry, F., Arias, P., Pardo, A. Video analysis platform [Preprint] Publicado en Actas del 12vo. Congreso Argentino de Ciencias de la Computación, CACIC 2006, San Luis, Argentina, 2006.https://hdl.handle.net/20.500.12008/38698Trabajo presentado en el Congreso Argentino de Ciencias de la Computación. CACIC 2006In this article we present the Video Analysis Platform (VAP) which is an open source software framework for video analysis, processing and description. The main goals of VAP are: to provide a multiplatform system which allows the easy implementation of video algorithms, provide structures and algorithms for the segmentation of video data in its different levels of abstraction: shots, frames, objects, regions, etc, permit the generation and comparison of MPEG7-like descriptors, and develop testing applications for shot detection, shot matching, object segmentation and tracking, etc.Made available in DSpace on 2023-08-01T20:33:23Z (GMT). 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spellingShingle Video analysis platform
Flores-Guridi, Pablo
status_str submittedVersion
title Video analysis platform
title_full Video analysis platform
title_fullStr Video analysis platform
title_full_unstemmed Video analysis platform
title_short Video analysis platform
title_sort Video analysis platform
url https://hdl.handle.net/20.500.12008/38698