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ImageRoadMap: A new content-based image retrieval system

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Database and Expert Systems Applications (DEXA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1308))

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Abstract

We introduce a new content-based image retrieval system, named ImageRoadMap, for retrieval by visual information. ImageRoadMap provides both computer vision capabilities and database management capabilities. We describe the architectural design of the system and its six main components: Image Processing Object, Image Database Object, Domain Management Object, Feature Extraction Object Visual Query Object, and Data Retrieval and Indexing Object. These objects are independent of one another and may be replaced by objects with equivalent or enhanced features.

The Image Database Object is responsible for management of actual image data, visual features and other data types. It performs similarity measurement and similarity based indexing. By utilizing Self-Organizing Feature Map (SOFM) and other indexing methods, spatial color distribution, dominant color set, number of objects and other visual features may be computed. Users of ImageRoadMap may present queries in several different ways depending on the characteristics and the nature of the query. Currently the system supports: Query by Example, Query by Color Contents, Query by Sketch, and Query by Concept.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Arizona State University, 85287-5406, Tempe, Arizona

    Youngchoon Park & Forouzan Golshani

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  1. Youngchoon Park
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  2. Forouzan Golshani
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Abdelkader Hameurlain A Min Tjoa

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© 1997 Springer-Verlag Berlin Heidelberg

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Park, Y., Golshani, F. (1997). ImageRoadMap: A new content-based image retrieval system. In: Hameurlain, A., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1997. Lecture Notes in Computer Science, vol 1308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022034

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  • DOI: https://doi.org/10.1007/BFb0022034

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63478-2

  • Online ISBN: 978-3-540-69580-6

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