CUED Publications database

Progressive search and retrieval in large image archives

Castelli, V and Bergman, LD and Kontoyiannis, I and Li, CS and Robinson, JT and Turek, JJ (1998) Progressive search and retrieval in large image archives. IBM Journal of Research and Development, 42. pp. 253-267. ISSN 0018-8646

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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. The framework is well suited for searching scientific databases, such as satellite-image-, medical-, and seismic-data repositories, where the volume and diversity of the information do not allow the a priori generation of exhaustive indexes, but we have successfully demonstrated its usefulness on still-image archives.

Item Type: Article
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 08 Jan 2018 20:11
Last Modified: 01 Oct 2020 02:41
DOI: 10.1147/rd.422.0253