SPIRE: a progressive content-based spatial image retrieval engine

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 multi-modal data including image, image sequence, time series and parametric data from large archives. Drama...

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Bibliographic Details
Main Authors: Li, Chung-Sheng, Bergman, Lawrence D., Chang, Yuan-Chi, Castelli, Vittorio, Smith, John R.
Format: Conference Proceeding
Language:English
Subjects:
Information systems > Information retrieval
Information systems > Information systems applications
Online Access:Get full text
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Description
Summary: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 multi-modal 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.
ISSN:0163-5808
DOI:10.1145/342009.336583