The Method of Image Feature Selection for Integration of Image Classification by Bag-of-Keypoints

In this paper, we propose a method of image feature selection for integration of image classification by Bag-of-Keypoints method and efficient search method. Our method is integration of image classification, which provides high-precision classification for various images. Therefore, in order to select a type of image feature in accordance with various purposes, it is necessary to select method easily. In addition, our method integrates various kinds of image feature by Bag-of-Keypoints method. Classification with a combination of some detectors and descriptors is more effective than with single detector and descriptor. To realize combination of some detectors and descriptors, we propose an integrating method. This paper is LATE BREAKING PAPERS for CSCI-ISAI.