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2013 IEEE 29th International Conference on Data Engineering (ICDE) (2000)
San Diego, California
Feb. 28, 2000 to Mar. 3, 2000
ISSN: 1063-6382
ISBN: 0-7695-0506-6
pp: 672
L. Irene Cheng , University of Alberta
Bing Xu , University of Alberta
Paul J. Iglinski , University of Alberta
Vincent Oria , University of Alberta
M. Tamer Özsu , 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.
L. Irene Cheng, Bing Xu, Paul J. Iglinski, Vincent Oria, M. Tamer Özsu, "DISIMA: An Object-Oriented Approach to Developing an Image Database System", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 672, 2000, doi:10.1109/ICDE.2000.839489
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