Content-Based Image Modeling and Retrieval

Mehrotra, Rajiv

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https://hdl.handle.net/2142/25944 Copy

Description

Title

Content-Based Image Modeling and Retrieval

Author(s)

Mehrotra, Rajiv

Issue Date

1997

Keyword(s)

• Digital Libraries
• electronic information resources
• digital images
• image access
• image retrieval
• content-based image data modeling
• MULti-SEmantic Unstructured data Model (MUSEUM)
• shape analysis

Date of Ingest

2011-08-17T16:57:31Z

Abstract

A database system models and manages an abstracted real world (or mini-world) pertinent to the problem at hand in terms of alphanumeric data. The semantic associated with any piece of alphanumeric data is known to or derived by the users of the database. This conventional approach to data modeling and management is not well suited for the effective management of imagery data. In an image database management system, the desired information/semantics associated with the imaged mini-world needs to be automatically (or semi-automatically) extracted and appropriately modeled to facilitate content-based retrieval and manipulation of data. In this article, the key issues in content based image data modeling and retrieval are discussed. A system called MUSEUM is briefly presented to illustrate some of the approaches used to resolve the main challenges of consent-based data modeling and retrieval

Publisher

Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign

Series/Report Name or Number

Digital Image Access & Retrieval [papers presented at the 1996 Clinic on Library Applications of Data Processing, March 24-26, 1996 Urbana-Champaign]

ISSN

0069-4789

Type of Resource

text

Genre of Resource

Conference Paper / Presentation

Language

en

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