DISIMA: An Object-Oriented Approach to Developing an Image Database System V. Oria, T. Özsu, P. Iglinski, B. Xu, and L. Cheng   View Paper (PDF)   Return to Demo Session 1 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. DiSC'01 Copyright ©2002 ACM Inc.