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Article: Motion-based video representation for scene change detection

TitleMotion-based video representation for scene change detection
Authors
Issue Date2000
PublisherIEEE, Computer Society
Citation
Proceedings - International Conference On Pattern Recognition, 2000, v. 15 n. 1, p. 827-830 How to Cite?
AbstractWe present a newly developed scheme for automatically partitioning videos into scenes. A scene is generally referred to as a group of shots taken place in the same site. In this paper, we first propose a motion annotation algorithm based on the analysis of spatio-temporal image volumes. The algorithm characterizes the motions within shots by extracting and analyzing the motion trajectories encoded in the temporal slices of image volumes. A motion-based keyframe computing and selection strategy is thus proposed to compactly represent the content of shots. With these techniques, we further present a scene change detection algorithm by measuring the similarity of the representative keyframes in shots. © 2000 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/65527
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorNgo, CWen_HK
dc.contributor.authorPong, TCen_HK
dc.contributor.authorZhang, HJen_HK
dc.contributor.authorChin, RTen_HK
dc.date.accessioned2010-08-31T07:15:07Z-
dc.date.available2010-08-31T07:15:07Z-
dc.date.issued2000en_HK
dc.identifier.citationProceedings - International Conference On Pattern Recognition, 2000, v. 15 n. 1, p. 827-830en_HK
dc.identifier.issn1051-4651en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65527-
dc.description.abstractWe present a newly developed scheme for automatically partitioning videos into scenes. A scene is generally referred to as a group of shots taken place in the same site. In this paper, we first propose a motion annotation algorithm based on the analysis of spatio-temporal image volumes. The algorithm characterizes the motions within shots by extracting and analyzing the motion trajectories encoded in the temporal slices of image volumes. A motion-based keyframe computing and selection strategy is thus proposed to compactly represent the content of shots. With these techniques, we further present a scene change detection algorithm by measuring the similarity of the representative keyframes in shots. © 2000 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE, Computer Societyen_HK
dc.relation.ispartofProceedings - International Conference on Pattern Recognitionen_HK
dc.titleMotion-based video representation for scene change detectionen_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-s2.0-26944465101en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-26944465101&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume15en_HK
dc.identifier.issue1en_HK
dc.identifier.spage827en_HK
dc.identifier.epage830en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNgo, CW=7005184304en_HK
dc.identifier.scopusauthoridPong, TC=7004618149en_HK
dc.identifier.scopusauthoridZhang, HJ=7409194828en_HK
dc.identifier.scopusauthoridChin, RT=7102445426en_HK

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