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2003 International Conference on Multimedia and Expo - Volume 2 (ICME '03)
Indexing narrative structure and semantics in motion pictures with a probabilistic framework
Baltimore, MD, USA
July 06-July 09
ISBN: 0-7803-7965-9
ASCII Text
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B. Adams, C. Dorai, S. Venkatesh, H.H. Bui, "Indexing narrative structure and semantics in motion pictures with a probabilistic framework," 2012 IEEE International Conference on Multimedia and Expo, vol. 2, pp. 453-456, 2003 International Conference on Multimedia and Expo - Volume 2 (ICME '03), 2003.
 
 
BibTex
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@article{ 10.1109/ICME.2003.1221651,
author = {B. Adams and C. Dorai and S. Venkatesh and H.H. Bui},
title = {Indexing narrative structure and semantics in motion pictures with a probabilistic framework},
journal ={2012 IEEE International Conference on Multimedia and Expo},
volume = {2},
year = {2003},
isbn = {0-7803-7965-9},
pages = {453-456},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2003.1221651},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 IEEE International Conference on Multimedia and Expo
TI - Indexing narrative structure and semantics in motion pictures with a probabilistic framework
SN - 0-7803-7965-9
SP453
EP456
A1 - B. Adams,
A1 - C. Dorai,
A1 - S. Venkatesh,
A1 - H.H. Bui,
PY - 2003
VL - 2
JA - 2012 IEEE International Conference on Multimedia and Expo
ER -
 
B. Adams, Dept. of Comput. Sci., Curtin Univ. of Technol., Perth, WA, Australia
C. Dorai, Sch. of Comput., Curtin Univ. of Technol., Perth, WA, Australia
S. Venkatesh, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
H.H. Bui, Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
This work constitutes the first attempt to extract an important narrative structure, the 3-Act story telling paradigm, in film. This narrative structure is prevalent in the domain of film as it forms the foundation and framework in which the 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. A novel act boundary likelihood function for Act 1 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 formulation is shown to be a useful tool in both the automatic and semi-interactive setting for semantic analysis of film.
Citation:
B. Adams, C. Dorai, S. Venkatesh, H.H. Bui, "Indexing narrative structure and semantics in motion pictures with a probabilistic framework," icme, vol. 2, pp.453-456, 2003 International Conference on Multimedia and Expo - Volume 2 (ICME '03), 2003
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