Document (#17762)

Author

Mehrotra, R.

Title

Content-based image modeling and retrieval

Source

Digital image access and retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing, 24-26 Mar 1996. Ed.: P.B. Heidorn u. B. Sandore

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Department of Library and Information Science

Year

1997

Pages

S.57-67

Abstract

Standard databases handle an abstracted world pertinent to specific problems in terms of alphanumeric data and respond to semantics defined by users and known to the databases. This conventional approach is not well suited to image databases, where the desired information and semantics need to be automatically or semi automatically extracted and and appropriately modelled to facilitate content based information retrieval and data manioulation. Discusses the key issues in content based image data modelling and information retrieval with particular reference to the MUlti-SEmantic Unstructured data Model (MUSEUM) system which is capable of dealing with image representatios of 3 dimensional shapes

Form

Bilder

Object

MUSEUM

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