Advanced techniques for digital libraries SPIRE: a digital library for scientific information

In this paper we describe the architecture and implementation of a digital library framework for sci- entific data, particularly imagery, with a focus on sup- port 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 imple- mentation 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 sci- entific databases, including satellite imagery, and medical and seismic data repositories, where the richness of the information does not allow the a priori generation of ex- haustive indexes.

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