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SPIRE: a progressive content-based spatial image retrieval engine

Published: 16 May 2000 Publication History

Abstract

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.

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  1. SPIRE: a progressive content-based spatial image retrieval engine

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      cover image ACM SIGMOD Record
      ACM SIGMOD Record  Volume 29, Issue 2
      June 2000
      609 pages
      ISSN:0163-5808
      DOI:10.1145/335191
      Issue’s Table of Contents
      • cover image ACM Conferences
        SIGMOD '00: Proceedings of the 2000 ACM SIGMOD international conference on Management of data
        May 2000
        604 pages
        ISBN:1581132174
        DOI:10.1145/342009
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 16 May 2000
      Published in SIGMOD Volume 29, Issue 2

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      Author Tags

      1. content-based retrieval
      2. digital library
      3. multimedia database

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