Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |


Ana B. Benitez, Shih-Fu Chang. Image Classification Using Multimedia Knowledge Networks. In IEEE International Conference on Image Processing (ICIP), Barcelona, Spain, September 2003.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discovery and the classifier combination using the extracted knowledge. The extracted knowledge is a network of concepts (e.g., image clusters and word-senses) with associated image and text examples. Concepts that are similar statistically are merged to reduce the size of the concept network. Our knowledge classifier is constructed by training a meta-classifier to predict the presence of each concept in images. A Bayesian network is then learned using the meta-classifiers and the concept network. For a new image, the presence of concepts is first detected using the meta-classifiers and refined using Bayesian inference. Experiments have shown that combining classifiers using knowledge-based Bayesian networks results in superior (up to 15%) or comparable accuracy to individual classifiers and purely statistically learned classifier structures. Another contribution of this work is the analysis of the role of visual and text features in image classification. As text or joint text+visual features perform better in classifying images than visual features, we tried to predict text features for images without annotations; however, the accuracy of visual + predicted text features did not consistently improve over visual features


Ana_B. Benitez

BibTex Reference

   Author = {Benitez, Ana B. and    Chang, Shih-Fu},
   Title = {Image Classification Using Multimedia Knowledge       Networks},
   BookTitle = {IEEE International Conference on Image          Processing (ICIP)},
   Address = {Barcelona, Spain},
   Month = {September},
   Year = {2003}

EndNote Reference [help]

Get EndNote Reference (.ref)


For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).