Abstract | ||
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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 |
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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. Bergman | 1 | 660 | 61.49 |
Vittorio Castelli | 2 | 928 | 129.71 |
Chung-sheng Li | 3 | 1372 | 222.33 |
John R. Smith | 4 | 4939 | 487.88 |