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16 January 2006 On usage models of content-based image search, filtering, and annotation
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Telleen-Lawton, Edward Y. Chang, Kwang-Ting Cheng, and Cheng-Wei B. Chang "On usage models of content-based image search, filtering, and annotation", Proc. SPIE 6061, Internet Imaging VII, 606102 (16 January 2006); doi: 10.1117/12.655792;


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