Study and Implementation of Image Retrieval for Teaching Resources

Teaching resources are usually massive, complex, hybrid and distributed. In order to search and utilize images from teaching resources with high efficiency, this paper introduced how to use CBIR (Content-based Image Retrieval) to search images from teaching resources, and design a image retrieval system for Teaching resources, it emphasizes on the analysis of relevance feedback algorithm based on SVM (support vector machines) as well as its´ application in the image retrieval of the Teaching Resources. The experiments indicate that this method can accurately and effectively find out the images which are required by user, and improve the image retrieval efficiency effectively.