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On the automated interpretation and indexing of American football

Lazarescu, Mihai, Venkatesh, Svetha, West, Geoff and Caelli, Terry 1999, On the automated interpretation and indexing of American football, in ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems, IEEE, [Washington, D. C.], pp. 802-806.

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Title On the automated interpretation and indexing of American football
Author(s) Lazarescu, Mihai
Venkatesh, Svetha
West, Geoff
Caelli, Terry
Conference name International Conference on Multimedia Computing and Systems (6th : 1999 : Florence, Italy)
Conference location Florence, Italy
Conference dates 7-11 Jun. 1999
Title of proceedings ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems
Editor(s) [Unknown]
Publication date 1999
Conference series International Conference on Multimedia Computing and Systems
Start page 802
End page 806
Total pages 5
Publisher IEEE
Place of publication [Washington, D. C.]
Keyword(s) artificial intelligence
image processing
image recognition
indexing
layout
machine learning
machine learning algorithms
natural languages
software libraries
video on demand
Summary This work combines natural language understanding and image processing with incremental learning to develop a system that can automatically interpret and index American Football. We have developed a model for representing spatio-temporal characteristics of multiple objects in dynamic scenes in this domain. Our representation combines expert knowledge, domain knowledge, spatial knowledge and temporal knowledge. We also present an incremental learning algorithm to improve the knowledge base as well as to keep previously developed concepts consistent with new data. The advantages of the incremental learning algorithm are that is that it does not split concepts and it generates a compact conceptual hierarchy which does not store instances.
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 0769502539
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©1999, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044546

Document type: Conference Paper
Collections: School of Information Technology
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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.