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Proceedings Paper

CAMEL: concept annotated image libraries
Author(s): Apostol Natsev; Atul Chadha; Basuki Soetarman; Jeffrey Scott Vitter
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Paper Abstract

The problem of content-based image searching has received considerable attention in the last few years. Thousands of images are now available on the Internet, and many important applications require searching of images in domains such as E-commerce, medical imaging, weather prediction, satellite imagery, and so on. Yet, content-based image querying is still largely unestablished as a mainstream field, nor is it widely used by search engines. We believe that two of the major hurdles for this poor acceptance are poor retrieval quality and usability.

Paper Details

Date Published: 1 January 2001
PDF: 12 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410975
Show Author Affiliations
Apostol Natsev, IBM Corp. (United States)
Atul Chadha, IBM Corp. (United States)
Basuki Soetarman, IBM Corp. (United States)
Jeffrey Scott Vitter, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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