Design of a pictorial knowledgebase

Authors:
Sreerama K. Karukonda;Edward T. Lee;Peter P. Chen
Affiliations:
Department of Computer Science, Louisiana State University, Baton Rouge, LA;Department of Computer Science, Louisiana State University, Baton Rouge, LA;Department of Computer Science, Louisiana State University, Baton Rouge, LA
Venue:
CSC '87 Proceedings of the 15th annual conference on Computer Science
Year:
1987

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Abstract

Intelligent Pictorial Databases increase the ease and the efficiency with which pictorial information can be utilized. In this paper, a frame-based pictorial knowledge representation is presented. Representation of geometric, color, and texture information is considered. Aggregation, generalization/ specialization, class/individualization, and inheritance of pictorial knowledge are exploited. The resulting knowledge representation is implemented in KPE, a knowledge programming tool developed in [6].