Content-Based Natural Image Classification and Retrieval Using SVM
Fu Yan · Chinese Journal of Computers · 2003
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 retrieval system, so that the users can search natural images by classes. The experimental results are promising.