Abstract: Aiming at the shortcomings of the current image retrieval algorithm, such as low accuracy, poor realtime performance, in order to obtain more ideal image retrieval results, the author proposed an image retrieval algorithm based on support vector machine and user feedback mechanism. Firstly, the author collected large images, extracted the relevant features of image retrieval, and established image retrieval feature library. Secondly, the author used support vector machine to calculate the similarity between the features of the image to be retrieved and the features of image retrieval library, determined the image category, and realized the preliminary image retrieval. Finally, the author introduced the user feedback mechanism to refine the preliminary image detection results, and compared with the classical image retrieval algorithm. The experimental results show that the image retrieval accuracy of the proposed method is more than 90%, the image retrieval error is much smaller than that of the classical image retrieval algorithm, and improves the image retrieval efficiency.

Key words:  , image retrieval, image feature vector, user feedback mechanism, feature matching