Distinguishing photographs and graphics on the World Wide Web

Author

Athitsos, Vassilis ; Swain, Michael J. ; Frankel, Charles

fYear

1997

fDate

20-20 June 1997

Firstpage

10

Lastpage

17

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 describes an automated system that classifies Web images as photographs or graphics. The design of the system is based on statistical observations about the image content of the two types, as well as learning techniques which make use of the vast amount of training data available on the Web. Text associated with the image can be used to further improve the accuracy of the classification. The system is used as a part of Webseer, an image search engine for the Web

Keywords

Internet; distributed databases; image classification; learning (artificial intelligence); multimedia computing; online front-ends; statistics; visual databases; Webseer; World Wide Web; associated text; automated image classification system; classification accuracy; graphics; image content; image search engine; image searching; image types; learning techniques; multimedia documents; photographs; statistical observations; training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on

Conference_Location

St. Thomas, U.S. Virgin Islands, USA

Print_ISBN

0-7695-0695-X

Type

conf

DOI

10.1109/IVL.1997.629715

Filename

5727565