In the traditional approach of content-based image retrieval, the wide image domain results in the wide semantic gap between the low-level features and the high-level concepts. We propose to narrow the image domain and use machine learning methods to automatically construct models for image classes, thus providing users with a conceptualized way to image query. In this paper, support vector machines are trained for natural image classification. The resulting image class models are incorporated into image re...
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