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Article: Detection of gradual transitions through temporal slice analysis

TitleDetection of gradual transitions through temporal slice analysis
Authors
Ngo, CWPong, TCChin, RT
KeywordsColor image processing
Image analysis
Image segmentation
Statistical methods
Video cameras
Issue Date1999
PublisherIEEE, Computer Society
Citation
Proceedings Of The Ieee Computer Society Conference On Computer Vision And Pattern Recognition, 1999, v. 1, p. 36-41 How to Cite?
AbstractIn this paper, we present approaches for detecting camera cuts, wipes and dissolves based on the analysis of spatio-temporal slices obtained from videos. These slices are composed of spatially and temporally coherent regions which can be perceived as shots. In the proposed methods, camera breaks are located by performing color-texture segmentation and statistical analysis on these video slices. In addition to detecting camera breaks, our methods can classify the detected breaks as camera cuts, wipes and dissolves in an efficient manner.
Persistent Identifierhttp://hdl.handle.net/10722/65535
ISSN
1063-6919
2023 SCImago Journal Rankings: 10.331

 

DC FieldValueLanguage
dc.contributor.authorNgo, CWen_HK
dc.contributor.authorPong, TCen_HK
dc.contributor.authorChin, RTen_HK
dc.date.accessioned2010-08-31T07:15:11Z-
dc.date.available2010-08-31T07:15:11Z-
dc.date.issued1999en_HK
dc.identifier.citationProceedings Of The Ieee Computer Society Conference On Computer Vision And Pattern Recognition, 1999, v. 1, p. 36-41en_HK
dc.identifier.issn1063-6919en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65535-
dc.description.abstractIn this paper, we present approaches for detecting camera cuts, wipes and dissolves based on the analysis of spatio-temporal slices obtained from videos. These slices are composed of spatially and temporally coherent regions which can be perceived as shots. In the proposed methods, camera breaks are located by performing color-texture segmentation and statistical analysis on these video slices. In addition to detecting camera breaks, our methods can classify the detected breaks as camera cuts, wipes and dissolves in an efficient manner.en_HK
dc.languageengen_HK
dc.publisherIEEE, Computer Societyen_HK
dc.relation.ispartofProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognitionen_HK
dc.subjectColor image processingen_HK
dc.subjectImage analysisen_HK
dc.subjectImage segmentationen_HK
dc.subjectStatistical methodsen_HK
dc.subjectVideo camerasen_HK
dc.titleDetection of gradual transitions through temporal slice analysisen_HK
dc.typeArticleen_HK
dc.identifier.emailChin, RT: rchin@hku.hken_HK
dc.identifier.authorityChin, RT=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.scopuseid_2-s2.0-0032687740en_HK
dc.identifier.volume1en_HK
dc.identifier.spage36en_HK
dc.identifier.epage41en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNgo, CW=7005184304en_HK
dc.identifier.scopusauthoridPong, TC=7004618149en_HK
dc.identifier.scopusauthoridChin, RT=7102445426en_HK
dc.identifier.issnl1063-6919-

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