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Proceedings Paper

Image retrieval with templates of arbitrary size
Author(s): Bo Tao; Kevin Robbins; Bradley W. Dickinson
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Paper Abstract

We study the problem of retrieving images using a small template. The goal is to allow a user to search for images containing a pattern similar to the template, adding to the capability of a search engine. We propose to employ a segmentation-based approach. As a specific example, we introduce a quadtree segmentation technique for textured images and a distance measure, Sum of Minimum Distance, suitable for template-based image retrieval applications.

Paper Details

Date Published: 15 January 1997
PDF: 10 pages
Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); doi: 10.1117/12.263399
Show Author Affiliations
Bo Tao, Princeton Univ. (United States)
Kevin Robbins, Princeton Univ. (United States)
Bradley W. Dickinson, Princeton Univ. (United States)

Published in SPIE Proceedings Vol. 3022:
Storage and Retrieval for Image and Video Databases V
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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