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Feb. 28, 2000 to Mar. 3, 2000
ISBN: 0-7695-0506-6
pp: 672
Vincent Oria , University of Alberta
M. Tamer Özsu , University of Alberta
Paul J. Iglinski , University of Alberta
Bing Xu , University of Alberta
L. Irene Cheng , University of Alberta
Most image database prototypes and products focus mainly on similarity searches over syntactic features of images. DISIMA aims at providing querying on both syntactic and semantic features of images. The content of an image is viewed as a set of salient objects (regions of interest). Salient objects are organized into two levels: physical salient objects that store syntactic features and logical salient objects that give the semantics. DISIMA integrates a declarative query language (MOQL) and a visual query language VisualMOQL.
Vincent Oria, M. Tamer Özsu, Paul J. Iglinski, Bing Xu, L. Irene Cheng, "DISIMA: An Object-Oriented Approach to Developing an Image Database System", ICDE, 2000, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2000, pp. 672, doi:10.1109/ICDE.2000.839489
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