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Towards automatic extraction of expressive elements from motion pictures : tempo

Adams, Brett, Dorai, Chitra and Venkatesh, Svetha 2000, Towards automatic extraction of expressive elements from motion pictures : tempo, in ICME 2000 : Proceedings of the IEEE International Conference on Multi-Media and Expo, IEEE, [Washington, D. C.], pp. 641-644.

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Title Towards automatic extraction of expressive elements from motion pictures : tempo
Author(s) Adams, Brett
Dorai, Chitra
Venkatesh, Svetha
Conference name International Conference on Multimedia and Expo (2000 : New York, N. Y.)
Conference location New York, N. Y.
Conference dates 30 Jul.-2 Aug. 2000
Title of proceedings ICME 2000 : Proceedings of the IEEE International Conference on Multi-Media and Expo
Editor(s) [Unknown]
Publication date 2000
Conference series International Conference on Multimedia and Expo
Start page 641
End page 644
Total pages 4
Publisher IEEE
Place of publication [Washington, D. C.]
Keyword(s) computational methods
edge detection
image analysis
motion pictures
semantics
automatic extraction
video annotation
Summary This paper proposes a unique computational approach to extraction of expressive elements of motion pictures for deriving high level semantics of stories portrayed, thus enabling better video annotation and interpretation systems. This approach, motivated and directed by the existing cinematic conventions known as film grammar, as a first step towards demonstrating its effectiveness, uses the attributes of motion and shot length to define and compute a novel measure of tempo of a movie. Tempo flow plots are defined and derived for four full-length movies and edge analysis is performed leading to the extraction of dramatic story sections and events signaled by their unique tempo. The results confirm tempo as a useful attribute in its own right and a promising component of semantic constructs such as tone or mood of a film.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780365364
Language eng
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2000, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044535

Document type: Conference Paper
Collections: School of Information Technology
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