Image content addressable retrieval system (ICARS) using context vector approach

Clara Z. Ren; Robert W. Means; Patrick McCabe

doi:10.1117/12.234784

13 March 1996 Image content addressable retrieval system (ICARS) using context vector approach

Clara Z. Ren, Robert W. Means, Patrick McCabe

Author Affiliations +

Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234784
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

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.

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Clara Z. Ren, Robert W. Means, and Patrick McCabe "Image content addressable retrieval system (ICARS) using context vector approach", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234784

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