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Cross-Lingual Image Search on the Web Kobi Reiter, Stephen Soderland, and Oren Etzioni
 

Summary: Cross-Lingual Image Search on the Web
Kobi Reiter, Stephen Soderland, and Oren Etzioni
Turing Center
Dept. of Computer Science and Engineering
University of Washington, Seattle, WA 98195 USA
{dbgalur , soderlan , etzioni} @cs.washington.edu
Abstract
Most people locate images on the Web by query-
ing image search engines such as Google's. The
images are tagged by the words in their "vicin-
ity", which limits the ability of a searcher to re-
trieve them. Although images are universal, an En-
glish searcher will fail to find images tagged in Chi-
nese, and a Spanish searcher will fail to find im-
ages tagged in English. Cross-lingual homonyms
cause problems as well. For example, the Hungar-
ian word for tooth is `fog', which makes it chal-
lenging for Hungarian searchers to find images of
teeth on the Web.
To solve these and related problems we introduce

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences