Efficient multi-nodes image retrieval method based on visual words

For the network environment with the limited transmission capacity, a multi-nodes image retrieval method based on visual words is proposed. Firstly, the visual words of query image are built by using the K-means clustering method after the color features and SIFT features of query image are extracted. Then the visual-words histogram of the query image is carried by the mobile Agent. The image similarity in each node is measured with the Euclidean distance. The results of image retrieval are returned to the user. Finally the weight-based relevance feedback method is utilized to optimize the retrieved results. Experimental results show that the proposed method can improve the speed and the accuracy of the image retrieval.