Image classification and retrieval with kernel methods
In this chapter we review some kernel methods useful for image classification and retrieval applications. Starting from the problem of constructing appropriate image representations we describe in depth and comment the main properties of various kernel engineering approaches which have been recently proposed in the computer vision and machine learning literature for solving a number of image classification problems. We distinguish between kernels applied to images as a whole and kernels looking at image features. We conclude by presenting some current work and discussing open issues.