Paper
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image retrieval

Chemical species

Image segmentation

Feature extraction

Wavelets

Image analysis

Software development

Back to Top