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Issue No.08 - August (1996 vol.18)
pp: 783-798
ABSTRACT
<p><b>Abstract</b>—A system named MARCO (denoting MAp Retrieval by COntent) that is used for the acquisition, storage, indexing, and retrieval of map images is presented. The input to MARCO are raster images of separate map layers and raster images of map composites. A legend-driven map interpretation system converts map layer images from their physical representation to their logical representation. This logical representation is then used to automatically index both the composite and the layer images. Methods for incorporating logical and physical layer images as well as composite images into the framework of a relational database management system are described. Indices are constructed on both the contextual and the spatial data thereby enabling efficient retrieval of layer and composite images based on contextual as well as spatial specifications. Example queries and query processing strategies using these indices are described. The user interface is demonstrated via the execution of an example query. Results of an experimental study on a large amount of data are presented. The system is evaluated in terms of accuracy and in terms of query execution time.</p>
INDEX TERMS
Map storage and retrieval, document storage, digital libraries, automated indexing, retrieval by content, map interpretation, Geographic Information Systems (GIS).
CITATION
Hanan Samet, Aya Soffer, "MARCO: MAp Retrieval by COntent", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.18, no. 8, pp. 783-798, August 1996, doi:10.1109/34.531799
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