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2003
Springer

Space Transformation Based Approach for Effective Content-Based Image Retrieval

8 years 9 months ago
Space Transformation Based Approach for Effective Content-Based Image Retrieval
In this paper, we extend the work done by Choubey and Raghavan, which proposed an approach to content-based image retrieval that uses the space transformation methods proposed by Goldfarb to transform the original low-level image space into a feature space, where images are represented as vectors of high-level features that enable efficient query processing. The resulting retrieval system consists of three phases: database population, online addition and image retrieval. In the current work, we investigate issues relating to online addition of new images, during database population phase, in incremental stages. The results show that our approach is effective in retrieving images even when the image database is dynamic.
Biren Shah, Vijay V. Raghavan
Added 07 Jul 2010
Updated 07 Jul 2010
Type Conference
Year 2003
Where ISMIS
Authors Biren Shah, Vijay V. Raghavan
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