Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Distinguishing Photographs and Graphics on the World Wide Web Vassilis Athitsos, Michael J. Swain and Charles Frankel
 

Summary: Distinguishing Photographs and Graphics on the World Wide Web
Vassilis Athitsos, Michael J. Swain and Charles Frankel
Department of Computer Science
The University of Chicago
Chicago, Illinois 60637
f vassilis, swain, frankel g@cs.uchicago.edu
Abstract
When we search for images in multimedia documents,
we often have in mind specific image types that we are
interested in; examples are photographs, graphics, maps,
cartoons, portraits of people, and so on. This paper de­
scribes an automated system that classifies Web images as
photographs or graphics, based on their content. The sys­
tem first submits the images into some tests, which look at
the image content, and then feeds the results of those tests
into a classifier. The classifier is built using learning tech­
niques, which take advantage of the vast amount of training
data that is available on the Web. Text associated with an
image can be used to further improve the accuracy of the
classification. The system is used as a part of WebSeer, an

  

Source: Athitsos, Vassilis - Department of Computer Science and Engineering, University of Texas at Arlington

 

Collections: Computer Technologies and Information Sciences