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A Syntactic-Semantic Approach to Image Understanding and Creation

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2 Author(s)
Tang, Gregory Y. ; Department of Electrical Engineering, State University of New York at Buffalo, Amherst, NY 14260. ; Huang, Thomas S.

A syntactic-semantic approach to information extraction from images is described. The methodology involves the injection of semantic considerations into context-free grammars. The semantic considerations include feature vectors, selection restrictions, feature transfer functions, semantic well-formedness, etc. With such injection, we can make a description scheme which carries the numerical, the structural, and the a prior real world knowledge about the pattern we want to extract. From the description we can construct an analytical mechanism, the creation machine, which wil find the desired pattern amid a chaos of noisy primitives.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-1 ,  Issue: 2 )