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Proceedings Paper

Visual image retrieval for applications in art and art history
Author(s): Bonnie J. Holt; Laura Hartwick
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Paper Abstract

Visual query programs are an effective tool for searching large collection of images. Unlike most programs of this type that rely on text to access categories of images, IBM's QBIC software will search for images based on what they look like. This is of value in situations where the content of an image is not described in the text catalog or when the user is seeking relational images. The Art and Art History Department at the University of California, Davis is using QBIC to determine what role it may play in retrieval of fine art images. This paper describes the department's construction of a pilot database and presents preliminary findings.

Paper Details

Date Published: 1 April 1994
PDF: 12 pages
Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); doi: 10.1117/12.171782
Show Author Affiliations
Bonnie J. Holt, Univ. of California/Davis (United States)
Laura Hartwick, Univ. of California/Davis (United States)


Published in SPIE Proceedings Vol. 2185:
Storage and Retrieval for Image and Video Databases II
Carlton Wayne Niblack; Ramesh C. Jain, Editor(s)

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