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Proceedings Paper

On usage models of content-based image search, filtering, and annotation
Author(s): David Telleen-Lawton; Edward Y. Chang; Kwang-Ting Cheng; Cheng-Wei B. Chang
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Paper Abstract

VIMA has experienced an increasing demand for Content-based Image Retrieval (CBIR) systems since late 2004. In this paper, we report the search, filtering, and annotation systems that we have developed and deployed, and the user models of these systems. The objective of this paper is to provide to the researchers and developers in the area of image retrieval, guidelines for measuring the performance of their algorithms/systems, in a way that is consonant with the requirements of the users. We also enumerate technical challenges of building CBIR systems, and outline our solutions to tackle these challenges.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6061, Internet Imaging VII, 606102 (16 January 2006); doi: 10.1117/12.655792
Show Author Affiliations
David Telleen-Lawton, VIMA Technologies (United States)
Edward Y. Chang, Univ. of California, Santa Barbara (United States)
Kwang-Ting Cheng, Univ. of California, Santa Barbara (United States)
Cheng-Wei B. Chang, VIMA Technologies (United States)

Published in SPIE Proceedings Vol. 6061:
Internet Imaging VII
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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