Ming-Syan Chen, Chung-Sheng Li, et al.
Real-Time Imaging
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.
Ming-Syan Chen, Chung-Sheng Li, et al.
Real-Time Imaging
Muthu Ramachandran, Victor Chang, et al.
ESaaSA 2015
Yuan-Chi Chang, Lawrence Bergman, et al.
SIGMOD 2000
Chung-Sheng Li, C. Michael Olsen, et al.
Journal of Lightwave Technology