DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorKollias, Stefanos-
dc.date.accessioned2024-11-19T10:34:38Z-
dc.date.available2024-11-19T10:34:38Z-
dc.date.issued2005-12-01-
dc.identifierscopus-33750554228-
dc.identifier.isbn0-7803-9331-7-
dc.identifier.other33750554228-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2912-
dc.description.abstractIn this paper an optimized and efficient technique for key-frames extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each given shot. Initially for each frame the Singular Value Decomposition method is applied and a diagonal matrix is produced, containing the singular values of the frame. Afterwards, a feature vector is created for each frame, by gathering the respective singular values. Next all feature vectors of the shot are collected to form the feature vectors basin of this shot. Finally a genetic algorithm approach is proposed and applied to the vectors basin, for locating frames of minimally correlated feature vectors, which are selected as keyframes. Experimental results indicate the promising performance of the proposed scheme on real life video shots.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the 2005 IEEE International Conference on Multimedia and Expo (ICME 2005)en_US
dc.subjectCorrelation criterionen_US
dc.subjectGenetic algorithmen_US
dc.subjectKey-frames extractionen_US
dc.subjectSingular Value Decompositionen_US
dc.titleAn optimized key-frames extraction scheme based on SVD and correlation minimizationen_US
dc.typeConference Paperen_US
dc.relation.conference2005 IEEE International Conference on Multimedia and Expo (ICME 2005), 6-9 July 2005, Amsterdam, The Netherlandsen_US
dc.identifier.doi10.1109/ICME.2005.1521542en_US
dc.identifier.scopus2-s2.0-33750554228-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage792en_US
dc.identifier.epage795en_US
dc.linkhttps://www.researchgate.net/publication/221263829_An_Optimized_Key-Frames_Extraction_Scheme_Based_on_SVD_and_Correlation_Minimizationen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

7
checked on Nov 20, 2024

Page view(s)

5
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.