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Progressive search and retrieval in large image archives

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6 Author(s)
Castelli, V. ; IBM Research Division, Thomas J. Watson Research Center, P.O. Box 704, Yorktown Heights, New York 10598, USA ; Bergman, L.D. ; Kontoyiannis, I. ; Li, C.-S.
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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.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

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IBM Journal of Research and Development  (Volume:42 ,  Issue: 2 )