Adding Knowledge-Assistance to PC-Based Photographic Image Database Management Systems

  • Authors:
  • Robert J. Mockler;Dorothy G. Dologite;Gary W. Orwig;James M. Ragusa

  • Affiliations:
  • St. John's University, USA;City University of New York, USA;University of Central Florida;University of Central Florida

  • Venue:
  • Information Resources Management Journal
  • Year:
  • 1993

Quantified Score

Hi-index 0.00

Visualization

Abstract

Many information technology IT managers are novices when implementing high-resolution, true color, knowledge-assisted microcomputer photographic image database management systems IDBMS. Such systems, involving high capacity image data capture, classification, compression, storage, retrieval, and transmission, have not yet been widely described in the literature nor fully implemented in practice. This paper reviews image management fundamentals for emerging digital photographic image data, discusses a prototype system under development to support NASAKennedy Space Center space shuttle ground processing operations, and focuses on the integration of knowledge-based expert systems embedded in the prototype to assist in image classification and retrieval. The paper concludes with the design for an integrated high capacity networked PC-LAN IDBMS.