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Proceedings Paper

Content-based image indexing and retrieval system in ImageRoadMap
Author(s): Forouzan Golshani; Youngchoon Park
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Paper Abstract

ImageRoadMap is a new content-based retrieval system for retrieval of images by visual information. The system provides full capabilities for indexing and retrieval of images, their visual features and many other diverse data types. We introduce combination of effective indexing methods based on a novel spatial color distribution mode. By utilizing Self- Organizing Feature Map and other indexing methods, spatial color distribution, dominant color set, number of objects and other visual features may be computed. It also provides capabilities for similarity measurement and similarity based indexing. ImageRoadMap includes a powerful multi-faceted querying mechanism, which allows queries to be formulated and presented in several different ways. Depending on the characteristics and the nature of the query, the user may choose, Query by Example, Query by Spatial Color Distribution, Query by Color Contents, Query by Sketch, Query by Concept, or a combination of any of the above. The current interface support iterative multi-modal query formulation in which the user presents whatever relevant information that is available through appropriate windows.

Paper Details

Date Published: 6 October 1997
PDF: 12 pages
Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); doi: 10.1117/12.290340
Show Author Affiliations
Forouzan Golshani, Arizona State Univ. (United States)
Youngchoon Park, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 3229:
Multimedia Storage and Archiving Systems II
C.-C. Jay Kuo; Shih-Fu Chang; Venkat N. Gudivada, Editor(s)

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