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

  • Authors:
  • Yuejie Zhang;Lei Cen;Cheng Jin;Xiangyang Xue;Ning Zhou

  • Affiliations:
  • Fudan University, Shanghai, China;Fudan University, Shanghai, China;Fudan University, Shanghai, China;Fudan University, Shanghai, China;UNC-Charlotte, Charlotte, USA

  • Venue:
  • Proceedings of the international conference on Multimedia
  • Year:
  • 2010

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Abstract

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.