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dc.contributor.authorAdams, Brett
dc.contributor.authorVenkatesh, Svetha
dc.contributor.authorBui, H.H.
dc.contributor.authorDorai, C.
dc.identifier.citationAdams, B. and Venkatesh, S. and Bui, H.H. and Dorai, C. 2005. A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures. Multimedia Tools and Applications. 27 (2): pp. 195-213.

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.

dc.titleA probabilistic framework for extracting narrative act boundaries and semantics in motion pictures
dc.typeJournal Article
dcterms.source.titleMultimedia Tools and Applications
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available

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