Knowledge-based integration of IU algorithms

Chandra Shekhar; Shyam Kuttikkad; Rama Chellappa; Monique Thonnat

doi:10.1109/ICPR.1996.547635

Knowledge-based integration of IU algorithms

Chandra Shekhar, Shyam Kuttikkad, Rama Chellappa, Monique Thonnat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Track D
Subtitle of host publication	Parallel and Connectionist Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	599-605
Number of pages	7
ISBN (Print)	081867282X, 9780818672828
DOIs	https://doi.org/10.1109/ICPR.1996.547635
State	Published - 1996
Externally published	Yes
Event	13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria Duration: Aug 25 1996 → Aug 29 1996

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	4
ISSN (Print)	1051-4651

Conference

Conference	13th International Conference on Pattern Recognition, ICPR 1996
Country/Territory	Austria
City	Vienna
Period	8/25/96 → 8/29/96

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.1996.547635

Cite this

Knowledge-based integration of IU algorithms. / Shekhar, Chandra; Kuttikkad, Shyam; Chellappa, Rama et al.
Track D: Parallel and Connectionist Systems. Institute of Electrical and Electronics Engineers Inc., 1996. p. 599-605 547635 (Proceedings - International Conference on Pattern Recognition; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shekhar, C, Kuttikkad, S, Chellappa, R & Thonnat, M 1996, Knowledge-based integration of IU algorithms. in Track D: Parallel and Connectionist Systems., 547635, Proceedings - International Conference on Pattern Recognition, vol. 4, Institute of Electrical and Electronics Engineers Inc., pp. 599-605, 13th International Conference on Pattern Recognition, ICPR 1996, Vienna, Austria, 8/25/96. https://doi.org/10.1109/ICPR.1996.547635

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AB - 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.

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Knowledge-based integration of IU algorithms

Abstract

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Conference

ASJC Scopus subject areas

Access to Document

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