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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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.
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Field of Research
089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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