Title :
DISIMA: an object-oriented approach to developing an image database system
Author :
Oria, Vincent ; Özsu, M. Tamer ; Iglinski, Paul J. ; Bu, Bing ; Cheng, L. Irene
Author_Institution :
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
Abstract :
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)
Keywords :
content-based retrieval; object-oriented programming; query languages; visual databases; visual languages; DISIMA; MOQL; VisualMOQL; declarative query language; image content; image database prototypes; image database system development; object oriented approach; regions of inter; salient objects; semantic features; similarity searches; syntactic features; syntactic image features; visual query language; Computer architecture; Database languages; Electrical capacitance tomography; Image databases; Object oriented databases; Prototypes; Research and development management; Spatial databases; Technology management; Tellurium;
Conference_Titel :
Data Engineering, 2000. Proceedings. 16th International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7695-0506-6
DOI :
10.1109/ICDE.2000.839489
