Abstract.
In this paper we describe the architecture and implementation of a digital library framework for scientific data, particularly imagery, with a focus on support for content-based search. Content is specified by the user at one or more of the following abstraction levels: pixel, feature, and semantic. An object-definition mechanism has been developed that supports example-based and constraint-based specification of both simple and complex query targets.This framework incorporates a methodology yielding a computationally efficient implementation of image processing algorithms, thus allowing the interactive, real-time extraction and manipulation of user-specified features and content during the execution of queries. The framework is well-suited for searching scientific databases, including satellite imagery, and medical and seismic data repositories, where the richness of the information does not allow the a priori generation of exhaustive indexes.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Author information
Authors and Affiliations
Additional information
Received: 19 December 1998 / Revised: 9 June 1999
Rights and permissions
About this article
Cite this article
Bergman, L., Castelli, V., Li, CS. et al. SPIRE: a digital library for scientific information. Int J Digit Libr 3, 85–99 (2000). https://doi.org/10.1007/PL00021478
Issue Date:
DOI: https://doi.org/10.1007/PL00021478