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This individual study option is a study into the application of Support Vector Machines (SVMs) and a number of feature selection to Content Based Image Retrieval (CBIR). We investigate the effects of different feature selection algorithm on an image representation designed by Tieu and Viola and observe differences in retrieval performance using SVMs.
This project has a theoretical and a practical sections. The theoretical section investigates different approaches to CBIR; the practical section presents the experimental results of this study.