Bayesian Probabilistic Models for Image Retrieval
published: Nov. 11, 2011, recorded: October 2011, views: 3359
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
In this paper we present new probabilistic ranking functions for content based image retrieval. Our methodology generalises previous approaches and is based on the predictive densities of generative probabilistic models modelling the density of image features. We evaluate the proposed methodology and compare it against two state of the art image retrieval systems using a well known image collection.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !