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Adding analysis tools to image databases: facilitating research in geography & art history

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Howard BesserAuthors Info & Claims

RIAO '88: User-Oriented Content-Based Text and Image Handling

Pages 972 - 990

Published: 21 March 1988 Publication History

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Abstract

As technological developments make the storage and retrieval of digitized images possible, database designers should give serious consideration to providing the user with routines not just for image retrieval, but for image analysis as well. This paper describes two projects currently underway at UC Berkeley to incorporate image processing capabilities into information retrieval systems. It explains how routines such as zooming, windowing, dynamic color changes, image overlay, and image subtraction can be used to study and compare maps, works of art, or other images, and explains how the widespread implementation of these routines might change patterns of research in these areas.

References

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Howard Besser, "Computers for Art Analysis," in Visible & Viable: The Role of Images in Instruction & Communication, ed. by R. A. Braden et al, IVLA, Blacksburg, VA, 1987. (Readings from the 18th Annual Conference of the International Visual Literacy Association)

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Howard Besser, "Digital Images for Museums," Museum Studies Journal, vol. 3, no. 1, Fall-Winter 1987.

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Howard Besser, "The Changing Museum." in Information: The Transformation of Society, ed. by Ching-chih Chen, Learned Information, Inc, Medford. NJ, 1987. (Proceedings of the 50th Annual Meeting of the American Society for Information Science)

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Clifford Alan Lynch, "Extending Relational Database Management Systems for Information Retrieval Applications," PhD dissertation, University of California College of Engineering, Berkeley, November, 1987.

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Published In

RIAO '88: User-Oriented Content-Based Text and Image Handling

March 1988

412 pages

General Chair:
M. Jacques Arsac
l'Ecole Normale Supérieure, l'Academie des Sciences, CID

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LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE

Paris, France

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Published: 21 March 1988

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Image retrieval on large-scale image databases

Content-based object organization for efficient image retrieval in image databases

Virtual Images for Similarity Retrieval in Image Databases

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