A Syntactic-Semantic Approach to Image Understanding and Creation
Gregory Y. Tang, Thomas S. Huang · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1979
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.