Tsallis entropy-based information measures for shot boundary detection and keyframe selection
dc.contributor.author
dc.date.accessioned
2015-12-09T11:07:29Z
dc.date.available
2015-12-09T11:07:29Z
dc.date.issued
2013-03-15
dc.identifier.issn
1863-1703
1863-1703
dc.identifier.uri
dc.description.abstract
Automatic shot boundary detection and keyframe selection constitute major goals in video processing. We propose two different information-theoretic approaches to detect the abrupt shot boundaries of a video sequence. These approaches are, respectively, based on two information measures, Tsallis mutual information and Jensen-Tsallis divergence, that are used to quantify the similarity between two frames. Both measures are also used to find out the most representative keyframe of each shot. The representativeness of a frame is basically given by its average similarity with respect to the other frames of the shot. Several experiments analyze the behavior of the proposed measures for different color spaces (RGB, HSV, and Lab), regular binnings, and entropic indices. In particular, the Tsallis mutual information for the HSV and Lab color spaces with only 8 regular bins for each color component and an entropic index between 1. 5 and 1. 8 substantially improve the performance of previously proposed methods based on mutual information and Jensen-Shannon divergence
dc.description.sponsorship
This work has been funded in part by grants from the Spanish Government (Nr. TIN2010-21089-C03-01), from the Catalan Government (Nr. 2009-SGR-643 and Nr. 2010-CONE2-00053), and from the Natural Science Foundation of China (61179067, 61103005, 60879003)
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Springer Verlag
dc.relation
info:eu-repo/grantAgreement/MICINN//TIN2010-21089-C03-01/ES/CONTENIDO DIGITAL PARA JUEGOS SERIOS: CREACION, GESTION, RENDERIZADO E INTERACCION/
AGAUR/2009-2014/2009 SGR-643
AGAUR/2011-2013/2010 CONE2 00053
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1007/s11760-013-0452-3
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© Signal, Image and Video Processing, 2013, vol. 7, núm. 3, p. 507-520
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Articles publicats (D-IMA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Tsallis entropy-based information measures for shot boundary detection and keyframe selection
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
018595
dc.contributor.funder
dc.relation.ProjectAcronym
dc.identifier.eissn
1863-1711