Yuan-Chi Chang, Matthew Hill, et al.
SEG 2003
In this demo, we will show the implementation of a content-based SPatial Image Retrieval Engine (SPIRE) for multimodal unstructured data. This architecture provides a framework for retrieving multimodal data including image, image sequence, time series and parametric data from large archives. Dramatic speedup (from a factor of 4 to 35) has been achieved for many search operations such as template matching, texture feature extraction. This framework has been applied and validated in solar flares and petroleum exploration in which spatial and spatial-temporal phenomena are located. © 2000, ACM. All rights reserved.
Yuan-Chi Chang, Matthew Hill, et al.
SEG 2003
Chung-Sheng Li, Hubertus Franke, et al.
ESaaSA 2015
Chung-Sheng Li, F. Tong
Journal of Lightwave Technology
Vittorio Castelli, Alexander Thomasian, et al.
IEEE Transactions on Knowledge and Data Engineering