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Extracting information about emotions in films
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Source International Multimedia Conference archive
Proceedings of the eleventh ACM international conference on Multimedia table of contents
Berkeley, CA, USA
SESSION: Reception and posters table of contents
Pages: 299 - 302  
Year of Publication: 2003
ISBN:1-58113-722-2
Authors
Andrew Salway  University of Surrey, Guildford, UK
Mike Graham  University of Surrey, Guildford, UK
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGCOMM: ACM Special Interest Group on Data Communication
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 18,   Downloads (12 Months): 92,   Citation Count: 5
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ABSTRACT

We present a method being developed to extract information about characters' emotions in films. It is suggested that this information can help describe higher levels of multimedia semantics relating to narrative structures. Our method extracts information from audio description that is provided for the visually-impaired with an increasing number of films. The method is based on a cognitive theory of emotions that links a character's emotional states to the events in their environment. In this paper the method is described along with some preliminary evaluation and discussions about the kinds of novel video retrieval and browsing applications it may support.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Bordwell, D. and Thompson, K. Film Art: An Introduction. McGraw-Hill 5th Edition, New York, 1997.
 
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Ortony A., Clore G. L. and Collins A. The Cognitive Structure of Emotions. Cambridge University Press, 1988.
 
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Roth, V. Content-based retrieval from digital video. Image and Vision Computing 17, 531--540 (1999).
 
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Salway, A., Graham, M., Tomadaki, E. and Xu, Y. Integrating Video and Text via Representations of Narrative. In Procs. AAAI Spring Symposium 2003, Intelligent Multimedia Knowledge Management.
 
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TIWO - Television in Words, EPSRC research project, www.computing.surrey.ac.uk/ckm/tiwo_project/Index.html <http://www.computing.surrey.ac.uk/ckm/tiwo_project/Index.html>
 
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WordNet - online lexical reference system, <http://www.cogsci.princeton.edu/~wn/>


Collaborative Colleagues:
Andrew Salway: colleagues
Mike Graham: colleagues