DISIMA Distributed Image Database System: Experiences and Reflections

نویسندگان

  • M. Tamer Özsu
  • Vincent Oria
  • Paul J. Iglinski
چکیده

DISIMA (Distributed Image Database Management System) is a research project under development at the University of Alberta that explores: (i) the development of an object-oriented DBMS kernel that provides flexibility for user-defined classification of images, supports feature-based and spatial querying over image content, and enables reasoning over spatial relationships for query optimization; (ii) the development of query languages and primitives for querying image databases; and (iii) the provision of scalability and open access to image repositories. A prototype system is implemented. This paper presents an overview of the project and reflects on our development experiences in the context of our related research.

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تاریخ انتشار 2007