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Proceedings Paper

Context vector approach to image retrieval
Author(s): Clara Z. Ren; Robert W. Means
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Paper Abstract

HNC developed a unique context vector approach to image retrieval in Image Contrast Addressable Retrieval System. The basis for this approach is the context vector approach to image representation. A context vector is a high dimensional vector of real numbers, derived from a set of features that are useful in discriminating between images in a particular domain. The image features are trained based upon the constrained 2D self-organizing learning law. The image context vector encodes both intra-image features and inter-image relationship. The similarity in the directions of the context vectors of a pair of images indicates their similarity of content. The context vector approach to image representation simplifies the image and retrieval indexing problem because simple Euclidean distance measurements between sets of context vectors are used as a measure of similarity.

Paper Details

Date Published: 1 April 1998
PDF: 5 pages
Proc. SPIE 3307, Applications of Artificial Neural Networks in Image Processing III, (1 April 1998); doi: 10.1117/12.304653
Show Author Affiliations
Clara Z. Ren, HNC Software Inc. (United States)
Robert W. Means, HNC Software Inc. (United States)


Published in SPIE Proceedings Vol. 3307:
Applications of Artificial Neural Networks in Image Processing III
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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