1. A method of image classification, comprising: selecting a predetermined number of training images that are representative of images associable with a particular topic category; extracting training image features from the training images; generating a set of descriptors characteristic of images associable with the particular topic category; and generating the particular set of predetermined models that correspond to the particular topic category based on the set of descriptors.