Constraint processing in our extensible language for cooperative imaging system

Minoru Aoki; Yo Murao; Hajime Enomoto

doi:10.1117/12.233035

16 February 1996 Constraint processing in our extensible language for cooperative imaging system

Minoru Aoki, Yo Murao, Hajime Enomoto

Proceedings Volume 2663, Very High Resolution and Quality Imaging; (1996) https://doi.org/10.1117/12.233035
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

The extensible WELL (Window-based elaboration language) has been developed using the concept of common platform, where both client and server can communicate with each other with support from a communication manager. This extensible language is based on an object oriented design by introducing constraint processing. Any kind of services including imaging in the extensible language is controlled by the constraints. Interactive functions between client and server are extended by introducing agent functions including a request-respond relation. Necessary service integrations are satisfied with some cooperative processes using constraints. Constraints are treated similarly to data, because the system should have flexibilities in the execution of many kinds of services. The similar control process is defined by using intentional logic. There are two kinds of constraints, temporal and modal constraints. Rendering the constraints, the predicate format as the relation between attribute values can be a warrant for entities' validity as data. As an imaging example, a processing procedure of interaction between multiple objects is shown as an image application for the extensible system. This paper describes how the procedure proceeds in the system, and that how the constraints work for generating moving pictures.

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Minoru Aoki, Yo Murao, and Hajime Enomoto "Constraint processing in our extensible language for cooperative imaging system", Proc. SPIE 2663, Very High Resolution and Quality Imaging, (16 February 1996); https://doi.org/10.1117/12.233035

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