Integrating bilingual searches for junk image filtering

Ning Zhou, Jinye Peng, Xiaoyi Feng, Yi Shen, Jianping Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To filter out the junk images more effectively, bilingual image search results from two image search engines are integrated to identify the clusters for the junk images and the clusters for the relevant images. Experiments are performed on two image search engines (Google Images in English and Baidu Images in Chinese) by using a large number of bilingual keyword-based queries (5000 bilingual query terms), and our experimental results have shown that integrating bilingual image search results can filter out the junk images effectively.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10
Pages29-32
Number of pages4
DOIs
StatePublished - 2010
Event2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010 - Harbin, China
Duration: 30 Dec 201031 Dec 2010

Publication series

NameProceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10

Conference

Conference2nd International Conference on Internet Multimedia Computing and Service, ICIMCS 2010
Country/TerritoryChina
CityHarbin
Period30/12/1031/12/10

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