Visual image retrieval for applications in art and art history

Bonnie J. Holt; Laura Hartwick

doi:10.1117/12.171782

1 April 1994 Visual image retrieval for applications in art and art history

Bonnie J. Holt, Laura Hartwick

Proceedings Volume 2185, Storage and Retrieval for Image and Video Databases II; (1994) https://doi.org/10.1117/12.171782
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Bonnie J. Holt and Laura Hartwick "Visual image retrieval for applications in art and art history", Proc. SPIE 2185, Storage and Retrieval for Image and Video Databases II, (1 April 1994); https://doi.org/10.1117/12.171782

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