Object-oriented model for image information representation

James Griffioen, Rajiv Mehrotra, Rajendra Yavatkar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Efficient management of non-alphanumeric data (such as images, videos, and graphs) is essential to a large number of applications. This paper discusses the issues in pictorial information modeling, examines the suitability of traditional data modeling approaches, and then proposes a new object-oriented data modeling approach, called Modeling Object-Oriented Data Semantics (MOODS). A key idea in MOODS is to integrate the image processing component of an image information management system with the data modeling technique. In addition, a user may provide additional assistance in defining semantics at various stages. We argue that the data modeling technique must capture the sequence of transformations and allow a variety of semantics to be associated with the same data to accommodate different application domains. Additional salient features of MOODS include a notion of abstract function classes and dynamic binding of functions to data.

Original languageEnglish
Title of host publicationProc 2 Int Conf Inf Knowl Manage
Pages393-402
Number of pages10
DOIs
StatePublished - 1993
EventProceedings of the 2nd International Conference on Information and Knowledge Management - Washington, DC, USA
Duration: Nov 1 1993Nov 5 1993

Publication series

NameProc 2 Int Conf Inf Knowl Manage

Conference

ConferenceProceedings of the 2nd International Conference on Information and Knowledge Management
CityWashington, DC, USA
Period11/1/9311/5/93

ASJC Scopus subject areas

  • General Engineering

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