An Improved Image Retrieval Approach Based on Support Vector Machine
一种改进的SVM相关反馈图像检索方法

Developed a improve image retrieval approach based on SVM. During the interactive procedure, the positive and negative sample images respect to the image marked by users both in current circulation and in the historical circulation are learned for constructing a SVM classifier, with which we classify the database images again. Experiments demonstrated that more relevant can be found efficiently by the interactive method with a number of procedure even when the number of the samples in each circulation is a little. In addition, it has the generalization ability of limited training samples.