Selecting Video Key Frames Based on Relative Entropy and the Extreme Studentized Deviate Test
dc.contributor.author
dc.date.accessioned
2016-11-07T10:38:32Z
dc.date.available
2016-11-07T10:38:32Z
dc.date.issued
2016-03-09
dc.identifier.uri
dc.description.abstract
This paper studies the relative entropy and its square root as distance measures of
neighboring video frames for video key frame extraction. We develop a novel approach handling
both common and wavelet video sequences, in which the extreme Studentized deviate test is
exploited to identify shot boundaries for segmenting a video sequence into shots. Then, video shots
can be divided into different sub-shots, according to whether the video content change is large or
not, and key frames are extracted from sub-shots. The proposed technique is general, effective and
efficient to deal with video sequences of any kind. Our new approach can offer optional additional
multiscale summarizations of video data, achieving a balance between having more details and
maintaining less redundancy. Extensive experimental results show that the new scheme obtains
very encouraging results in video key frame extraction, in terms of both objective evaluation metrics
and subjective visual perception
dc.description.sponsorship
This work has been funded by the Natural Science Foundation of China (61471261, 61179067, U1333110) and by Grants TIN2013-47276-C6-1-R from the Spanish Government and 2014-SGR-1232 from the Catalan Government (Spain)
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
MDPI (Multidisciplinary Digital Publishing Institute)
dc.relation
info:eu-repo/grantAgreement/MINECO//TIN2013-47276-C6-1-R/ES/AVANCES EN CONTENIDOS DIGITALES PARA JUEGOS SERIOS/
AGAUR/2014-2016/2014 SGR-1232
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.3390/e18030073
dc.relation.ispartof
Entropy, 2016, vol. 18, núm. 3, p. 73
dc.relation.ispartofseries
Articles publicats (D-IMA)
dc.rights
Attribution 4.0 Spain
dc.rights.uri
dc.subject
dc.title
Selecting Video Key Frames Based on Relative Entropy and the Extreme Studentized Deviate Test
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.contributor.funder
dc.relation.ProjectAcronym
dc.identifier.eissn
1099-4300