Progressive search and retrieval in large image archives

In this paper, we describe the architecture and implementation of a framework to perform content-based search of an image database, where content is specified by the user at one or more of the following three abstraction levels: pixel, feature, and semantic. This framework incorporates a methodology...

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Bibliographic Details
Published in:IBM journal of research and development 1998-03, Vol.42 (2), p.253-268
Main Authors: Castelli, V., Bergman, L. D., Kontoyiannis, I., Li, C.-S., Robinson, J. T., Turek, J. J.
Format: Article
Language:English
Subjects:
Algorithms
Archives & records
Computer architecture
Computer graphics
Digital libraries
Performance evaluation
Queries
R&D
Research & development
Searches
Semantics
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Description
Summary:In this paper, we describe the architecture and implementation of a framework to perform content-based search of an image database, where content is specified by the user at one or more of the following three abstraction levels: pixel, feature, and semantic. This framework incorporates a methodology that yields a computationally efficient implementation of image-processing algorithms, thus allowing the efficient extraction and manipulation of user-specified features and content during the execution of queries.
ISSN:0018-8646
0018-8646
2151-8556
DOI:10.1147/rd.422.0253