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A Syntactic-Semantic Approach to Image Understanding and Creation
February 1979 (vol. 1 no. 2)
pp. 135-144
Gregory Y. Tang, Department of Electrical Engineering, State University of New York at Buffalo, Amherst, NY 14260.
Thomas S. Huang, FELLOW, IEEE, Department of Electrical Engineering, Purdue University, West Lafayette, IN 47907.
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.
Citation:
Gregory Y. Tang, Thomas S. Huang, "A Syntactic-Semantic Approach to Image Understanding and Creation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 1, no. 2, pp. 135-144, Feb. 1979, doi:10.1109/TPAMI.1979.4766899
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