Patch-Based Image Classification Using Image Epitomes

David Andrzejewski

CS 766 - Final Project

December 19, 2005

Abstract:

Automatic image classification has many practical applications, including photo collection organization and image search. In this project I approach the image classification task through the use of image epitomes. The epitome of an image is a probabilistic model that serves as a compact representation of the shape and texture information present in the original image. I first create a collage of positive and negative example images, then I generate the epitome representation of this collage. Patches in the epitome which are much more likely to be found in positive images than in negative ones can then be used to classify new images.