Knowledge-based integration of IU algorithms

Author

Shekhar, Chandra ; Kuttikkad, Shyam ; Chellappa, Rama ; Thonnat, Monique

Author_Institution

Center for Autom. Res., Maryland Univ., College Park, MD, USA

Volume

4

fYear

1996

fDate

25-29 Aug 1996

Firstpage

599

Abstract

This paper deals with the integration of image understanding (IU) programs using a knowledge-based approach. The basic concepts of program integration are discussed, and a simple problem-solving model for program integration is outlined. Two types of reasoning, planning and execution control, are identified. A system developed using this model, called OCAPI (Optimizing, Controlling and Automating the Processing of Images), is introduced. OCAPI is an AI environment in which the reasoning used by the IU specialist is formally represented using frames and production rules. An example of the application developed using OCAPI is presented, and the advantages and shortcomings of this approach are discussed

Keywords

computer vision; inference mechanisms; knowledge based systems; planning (artificial intelligence); problem solving; OCAPI; frames; image processing; image understanding programs; knowledge-based systems; planning; problem-solving model; production rules; program integration; reasoning; Artificial intelligence; Automatic control; Automation; Computer architecture; Educational institutions; Object oriented modeling; Problem-solving; Production; Programming environments; Protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.547635

Filename

547635