DISIMA: An object-oriented approach to developing an image database system

Vincent Oria, M. Tamer Ozsu, Paul J. Iglinski, Bing Xu, L. Irene Cheng

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

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.

Original languageEnglish (US)
Pages672-673
Number of pages2
StatePublished - Jan 1 2000
Externally publishedYes
Event2000 IEEE 16th International Conference on Data Engineering (ICDE'00) - San Diego, CA, USA
Duration: Feb 29 2000Mar 3 2000

Conference

Conference2000 IEEE 16th International Conference on Data Engineering (ICDE'00)
CitySan Diego, CA, USA
Period2/29/003/3/00

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

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