Bilingual query translation and expansion for supporting more effective cross-language image retrieval

To support more effective Cross-Language Image Retrieval (ImageCLIR), a novel algorithm is developed by integrating a bilingual semantic network to achieve more precise bilingual query translation and expansion. An English-Chinese bilingual parallel corpus is used to construct the bilingual semantic network for determining more meaningful text terms and characterizing the inter-term correlations and similarity contexts between multiple inter-related text terms more precisely. Our experiments on CWMT2009 and CLEF have provided very promising results.