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Content-Based Image Modeling and Retrieval

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Title: Content-Based Image Modeling and Retrieval
Author(s): Mehrotra, Rajiv
Subject(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
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
Issue Date: 1997
Publisher: Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign
Citation Info: Mehrotra, Rajiv (1997) Content-Based Image Modeling and Retrieval. In P. Bryan Heidorn; Beth Sandore (Eds.) (1997) Digital Image Access & Retrieval [papers presented at the 1996 Clinic on Library Applications of Data Processing, March 24-26, 1996 Urbana-Champaign] : Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign: 57-67.
Series/Report: Digital Image Access & Retrieval [papers presented at the 1996 Clinic on Library Applications of Data Processing, March 24-26, 1996 Urbana-Champaign]
Genre: Conference Paper / Presentation
Type: Text
Language: English
URI: http://hdl.handle.net/2142/25944
ISBN: 0-87845-100-5
ISSN: 0069-4789
Publication Status: published or submitted for publication
Date Available in IDEALS: 2011-08-17
 

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