A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures
|dc.identifier.citation||Adams, 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.title||A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures|
|dcterms.source.title||Multimedia Tools and Applications|
|curtin.department||Department of Computing|
|curtin.accessStatus||Fulltext not available|