Integrating bilingual searches for junk image filtering

Authors:
Ning Zhou;Jinye Peng;Xiaoyi Feng;Yi Shen;Jianping Fan
Affiliations:
Northwestern Polytechnical University, Xian, P. R. China and UNC-Charlotte, Charlotte, NC;Northwestern Polytechnical University, Xian, P.R. China;Northwestern Polytechnical University, Xian, P.R. China;Northwestern Polytechnical University, Xian, P.R. China and UNC-Charlotte, Charlotte, NC;Northwestern Polytechnical University, Xian, P.R. China and UNC-Charlotte, Charlotte, NC
Venue:
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Year:
2010

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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.