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Applications of entity-relationship model to picture description

Published online by Cambridge University Press:  09 March 2009

Edward T. Lee
Affiliation:
Department of Computer Science, Louisiana State University, Baton Rouge, Louisiana 70803, (USA)
P. Chu
Affiliation:
Department of Computer Science, Louisiana State University, Baton Rouge, Louisiana 70803, (USA)
C. Peng Wu
Affiliation:
Department of Computer Science, Louisiana State University, Baton Rouge, Louisiana 70803, (USA)

Summary

The concepts of entity-relationship diagram have been applied to picture description. Primitive picture entities, picture relationships, and picture grammars are presented with illustrative examples. A high-level description of a two-level picture generation system is proposed using either string description or ER diagram description. Illustrative examples are also given. The advantages of ER diagram description together with its comparison to string description are also presented. The results may have useful applications in robotics, artificial intelligence, expert systems, picture processing, pattern recognition, knowledge engineering and pictorial database design.

Type
Article
Copyright
Copyright © Cambridge University Press 1987

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