Video copy detection using multiple visual cues and MPEG-7 descriptors

Simple item page
buir.contributor.authorUlusoy, Özgür
buir.contributor.authorGüdükbay, Uğur
dc.citation.epage849en_US
dc.citation.issueNumber8en_US
dc.citation.spage838en_US
dc.citation.volumeNumber21en_US
dc.contributor.authorKüçüktunç, O.en_US
dc.contributor.authorBaştan M.en_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorUlusoy, Özgüren_US
dc.date.accessioned2016-02-08T09:56:11Z
dc.date.available2016-02-08T09:56:11Z
dc.date.issued2010en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractWe propose a video copy detection framework that detects copy segments by fusing the results of three different techniques: facial shot matching, activity subsequence matching, and non-facial shot matching using low-level features. In facial shot matching part, a high-level face detector identifies facial frames/shots in a video clip. Matching faces with extended body regions gives the flexibility to discriminate the same person (e.g., an anchor man or a political leader) in different events or scenes. In activity subsequence matching part, a spatio-temporal sequence matching technique is employed to match video clips/segments that are similar in terms of activity. Lastly, the non-facial shots are matched using low-level MPEG-7 descriptors and dynamic-weighted feature similarity calculation. The proposed framework is tested on the query and reference dataset of CBCD task of TRECVID 2008. Our results are compared with the results of top-8 most successful techniques submitted to this task. Promising results are obtained in terms of both effectiveness and efficiency. © 2010 Elsevier Inc. All rights reserved.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:56:11Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010en
dc.identifier.doi10.1016/j.jvcir.2010.07.001en_US
dc.identifier.issn1047-3203
dc.identifier.urihttp://hdl.handle.net/11693/22149
dc.language.isoEnglishen_US
dc.publisherAcademic Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jvcir.2010.07.001en_US
dc.source.titleJournal of Visual Communication and Image Representationen_US
dc.subjectActivity matchingen_US
dc.subjectContent - based copy detectionen_US
dc.subjectFace detectionen_US
dc.subjectMPEG - 7en_US
dc.subjectSubsequence matchingen_US
dc.subjectTime series analysisen_US
dc.subjectVideo copy detectionen_US
dc.subjectVisual quesen_US
dc.subjectActivity matchingen_US
dc.subjectFace recognitionen_US
dc.subjectMotion picture experts group standardsen_US
dc.subjectDetectorsen_US
dc.titleVideo copy detection using multiple visual cues and MPEG-7 descriptorsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Video copy detection using multiple visual cues and MPEG-7 descriptors.pdf
Size:
1.68 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Scholarly Publications - Computer Engineering