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A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures

Adams, Brett, Venkatesh, Svetha, Bui, Hung H. and Dorai, Chitra 2005, A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures, Multimedia tools and applications, vol. 27, no. 2, pp. 195-213, doi: 10.1007/s11042-005-2574-2.

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Title A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures
Author(s) Adams, Brett
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Bui, Hung H.
Dorai, Chitra
Journal name Multimedia tools and applications
Volume number 27
Issue number 2
Start page 195
End page 213
Total pages 19
Publisher Springer New York LLC
Place of publication Secaucus, N.J.
Publication date 2005-11
ISSN 1380-7501
1573-7721
Keyword(s) narrative structure
semantics
multimedia content management
film
Summary This work constitutes the first attempt to extract the important narrative structure, the 3-Act storytelling paradigm in film. Widely prevalent in the domain of film, it forms the foundation and framework in which a film can be made to function as an effective tool for story telling, and its extraction is a vital step in automatic content management for film data. The identification of act boundaries allows for structuralizing film at a level far higher than existing segmentation frameworks, which include shot detection and scene identification, and provides a basis for inferences about the semantic content of dramatic events in film. A novel act boundary likelihood function for Act 1 and 2 is derived using a Bayesian formulation under guidance from film grammar, tested under many configurations and the results are reported for experiments involving 25 full-length movies. The result proves to be a useful tool in both the automatic and semi-interactive setting for semantic analysis of film, with potential application to analogues occuring in many other domains, including news, training video, sitcoms.
Language eng
DOI 10.1007/s11042-005-2574-2
Field of Research 080305 Multimedia Programming
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2005, Springer Science + Business Media, Inc.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044184

Document type: Journal Article
Collection: School of Information Technology
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