A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures
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 extract...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Springer
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/16192 |
| _version_ | 1848749105191321600 |
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| author | Adams, Brett Venkatesh, Svetha Bui, H.H. Dorai, C. |
| author_facet | Adams, Brett Venkatesh, Svetha Bui, H.H. Dorai, C. |
| author_sort | Adams, Brett |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:15:39Z |
| format | Journal Article |
| id | curtin-20.500.11937-16192 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:15:39Z |
| publishDate | 2005 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-161922017-09-13T15:03:20Z A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures Adams, Brett Venkatesh, Svetha Bui, H.H. Dorai, C. 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. 2005 Journal Article http://hdl.handle.net/20.500.11937/16192 10.1007/s11042-005-2574-2 Springer restricted |
| spellingShingle | Adams, Brett Venkatesh, Svetha Bui, H.H. Dorai, C. A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| title | A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| title_full | A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| title_fullStr | A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| title_full_unstemmed | A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| title_short | A probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| title_sort | probabilistic framework for extracting narrative act boundaries and semantics in motion pictures |
| url | http://hdl.handle.net/20.500.11937/16192 |