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.

Attached Files
Name Description MIMEType Size Downloads

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
Keyword(s) narrative structure
multimedia content management
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

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 529 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 05 Apr 2012, 15:56:12 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.