Title
SPIRE: a digital library for scientific information
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.
Year
DOI
Venue
2000
10.1007/s007990050013
Int. J. on Digital Libraries
Keywords
Field
DocType
digital library,object-based model,acqui- sition of content,abstraction pyramid,scientific data,real time,image processing,indexation
Data mining,Architecture,Satellite imagery,Abstraction,Information retrieval,Computer science,A priori and a posteriori,Spire,Pixel,Digital library,Digital image processing
Journal
Volume
Issue
Citations 
3
1
3
PageRank 
References 
Authors
0.47
19
4
Name
Order
Citations
PageRank
Lawrence D. Bergman166061.49
Vittorio Castelli2928129.71
Chung-sheng Li31372222.33
John R. Smith44939487.88