Lawrence D. Bergman, Vittorio Castelli, et al.
D-Lib Magazine
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 examplebased 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. © 2000 Springer-Verlag.
Lawrence D. Bergman, Vittorio Castelli, et al.
D-Lib Magazine
Chung-Sheng Li, Lawrence D. Bergman, et al.
SIGMOD Record
Vittorio Castelli, Rishav Chakravarti, et al.
ACL 2020
Lawrence D. Bergman, Jerald Schoudt, et al.
Voice, Video, and Data Communications 1997