Simple and robust hard cut detection using interframe diferences

Pardo, Alvaro

Resumen:

In this paper we introduce a simple method for the detection of hard cuts using only interframe diferences. The method is inspired in the computational gestalt theory. The key idea in this theory is to define a meaningful event as large deviation from the expected background process. That is, an event that has little probability to occur given a probabilistic background model. In our case we will de¯ne a hard cut when the interframe diferences have little probability to be produced by a given model of interframe diferences of non-cut frames. Since we only use interframe diferences, there is no need to perform motion estimation, or other type of processing, and the method turns to be very simple with low computational cost. The proposed method outperforms similar methods proposed in the literature.


Detalles Bibliográficos
2005
Español
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/21197
Acceso abierto
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
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author Pardo, Alvaro
author_facet Pardo, Alvaro
author_role author
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dc.creator.none.fl_str_mv Pardo, Alvaro
dc.date.accessioned.none.fl_str_mv 2019-07-03T16:35:58Z
dc.date.available.none.fl_str_mv 2019-07-03T16:35:58Z
dc.date.issued.es.fl_str_mv 2005
dc.date.submitted.es.fl_str_mv 20190703
dc.description.abstract.none.fl_txt_mv In this paper we introduce a simple method for the detection of hard cuts using only interframe diferences. The method is inspired in the computational gestalt theory. The key idea in this theory is to define a meaningful event as large deviation from the expected background process. That is, an event that has little probability to occur given a probabilistic background model. In our case we will de¯ne a hard cut when the interframe diferences have little probability to be produced by a given model of interframe diferences of non-cut frames. Since we only use interframe diferences, there is no need to perform motion estimation, or other type of processing, and the method turns to be very simple with low computational cost. The proposed method outperforms similar methods proposed in the literature.
dc.description.es.fl_txt_mv Trabajo presentado en el Congreso IberoAmericano de Reconocimiento de Patrones, CIARP, La Habana, Cuba, 2005
dc.identifier.citation.es.fl_str_mv Pardo, A. Simple and robust hard cut detection using interframe diferences [Preprint] Publicado en Congreso IberoAmericano de Reconocimiento de Patrones, CIARP, La Habana, Cuba, 2005
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/21197
dc.language.iso.none.fl_str_mv es
spa
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dc.source.none.fl_str_mv reponame:COLIBRI
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instacron:Universidad de la República
dc.title.none.fl_str_mv Simple and robust hard cut detection using interframe diferences
dc.type.en.fl_str_mv Preprint
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description Trabajo presentado en el Congreso IberoAmericano de Reconocimiento de Patrones, CIARP, La Habana, Cuba, 2005
eu_rights_str_mv openAccess
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identifier_str_mv Pardo, A. Simple and robust hard cut detection using interframe diferences [Preprint] Publicado en Congreso IberoAmericano de Reconocimiento de Patrones, CIARP, La Habana, Cuba, 2005
instacron_str Universidad de la República
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publishDate 2005
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)
spelling 2019-07-03T16:35:58Z2019-07-03T16:35:58Z200520190703Pardo, A. Simple and robust hard cut detection using interframe diferences [Preprint] Publicado en Congreso IberoAmericano de Reconocimiento de Patrones, CIARP, La Habana, Cuba, 2005https://hdl.handle.net/20.500.12008/21197Trabajo presentado en el Congreso IberoAmericano de Reconocimiento de Patrones, CIARP, La Habana, Cuba, 2005In this paper we introduce a simple method for the detection of hard cuts using only interframe diferences. The method is inspired in the computational gestalt theory. The key idea in this theory is to define a meaningful event as large deviation from the expected background process. That is, an event that has little probability to occur given a probabilistic background model. In our case we will de¯ne a hard cut when the interframe diferences have little probability to be produced by a given model of interframe diferences of non-cut frames. Since we only use interframe diferences, there is no need to perform motion estimation, or other type of processing, and the method turns to be very simple with low computational cost. The proposed method outperforms similar methods proposed in the literature.Made available in DSpace on 2019-07-03T16:35:58Z (GMT). No. of bitstreams: 5 pardo05_1.pdf: 1172603 bytes, checksum: a18a3c19cb73112e35a4394f90609290 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license.txt: 4267 bytes, checksum: 6429389a7df7277b72b7924fdc7d47a9 (MD5) Previous issue date: 2005esspaLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse
spellingShingle Simple and robust hard cut detection using interframe diferences
Pardo, Alvaro
status_str submittedVersion
title Simple and robust hard cut detection using interframe diferences
title_full Simple and robust hard cut detection using interframe diferences
title_fullStr Simple and robust hard cut detection using interframe diferences
title_full_unstemmed Simple and robust hard cut detection using interframe diferences
title_short Simple and robust hard cut detection using interframe diferences
title_sort Simple and robust hard cut detection using interframe diferences
url https://hdl.handle.net/20.500.12008/21197