Shot Classification Using Domain Specific Features for Movie Management

Xu, M; He, X; Hasan, M; Chen, L

Shot Classification Using Domain Specific Features for Movie Management

Xu, M He, X Hasan, M Chen, L

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Publisher:: Springer Heidelberg Dordrecht London NewYork
Publication Type:: Conference
Citation:: Xu Min et al. 2012, 'Shot Classification Using Domain Specific Features for Movie Management', , Springer Heidelberg Dordrecht London NewYork, Busan, South Korea, , pp. 314-318.
Issue Date:: 2012

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Full metadata record

Field	Value	Language
dc.contributor.author	Xu, M	en_US
dc.contributor.author	He, X	en_US
dc.contributor.author	Hasan, M	en_US
dc.contributor.author	Chen, L	en_US
dc.contributor.editor	Sang-goo Lee et al.	en_US
dc.date	20120415	en_US
dc.date.accessioned	2012-10-12T03:36:18Z
dc.date.available	2012-10-12T03:36:18Z
dc.date.issued	2012	en_US
dc.identifier	2011003931	en_US
dc.identifier.citation	Xu Min et al. 2012, 'Shot Classification Using Domain Specific Features for Movie Management', , Springer Heidelberg Dordrecht London NewYork, Busan, South Korea, , pp. 314-318.	en_US
dc.identifier.issn	978-3-642-29034-3	en_US
dc.identifier.other	E1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19161
dc.description.abstract	Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. Managing a movie at shot level provides a feasible way for movie understanding and summarization. Consequently, an effective shot classification is greatly desired for advanced movie management. In this demo, we explore novel domain specific features for effective shot classification. Experimental results show that the proposed method classifies movie shots from wide range of movie genres with improved accuracy compared to existing work.	en_US
dc.language	English	en_US
dc.publisher	Springer Heidelberg Dordrecht London NewYork	en_US
dc.relation.ispartof	Verified OK	en_US
dc.relation.ispartof	Database Systems for Advanced Applications	en_US
dc.subject	movie management, context saliency, SVM classification	en_US
dc.subject.classification	Information Systems	en_US
dc.title	Shot Classification Using Domain Specific Features for Movie Management	en_US
dc.type	Conference
utslib.location	Busan, South Korea	en_US
utslib.citation.startpage	314	en_US
utslib.citation.endpage	318	en_US
utslib.identifier.org	FEIT.School of Computing and Communications	en_US
utslib.for	080600	en_US
utslib.percentage	000100	en_US
utslib.citation.edition	7239	en_US
dc.location.activity	Busan, South Korea	en_US
utslib.copyright.status	closed_access

Abstract:

Among many video types, movie content indexing and retrieval is a significantly challenging task because of the wide variety of shooting techniques and the broad range of genres. A movie consists of a series of video shots. Managing a movie at shot level provides a feasible way for movie understanding and summarization. Consequently, an effective shot classification is greatly desired for advanced movie management. In this demo, we explore novel domain specific features for effective shot classification. Experimental results show that the proposed method classifies movie shots from wide range of movie genres with improved accuracy compared to existing work.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/19161