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Proceedings Paper

Image content addressable retrieval system (ICARS) using context vector approach
Author(s): Clara Z. Ren; Robert W. Means; Patrick McCabe
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Paper Abstract

HNC Software Inc. has developed a technology for automatic indexing and retrieval of free text and images. This technique is based on the concept of 'context vectors' which encode a succinct representation of the associated text and features of images. In this paper, we describe some technical issues in the image content addressable retrieval system (ICARS) including image context vector representation, clustering algorithm, retrieval and indexing techniques. ICARS has the capability to retrieve images based on similarity of content by texture and color without performing segmentation or object recognition.

Paper Details

Date Published: 13 March 1996
PDF: 11 pages
Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); doi: 10.1117/12.234784
Show Author Affiliations
Clara Z. Ren, HNC Software Inc. (United States)
Robert W. Means, HNC Software Inc. (United States)
Patrick McCabe, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 2670:
Storage and Retrieval for Still Image and Video Databases IV
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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