Cross-Language Image Retrieval via Spoken Query

نویسندگان

  • Wen-Cheng Lin
  • Ming-Shun Lin
  • Hsin-Hsi Chen
چکیده

This paper studies cross-language cross-medium information retrieval. We introduce several approaches to unify the languages and media of queries and documents. We experiment on cross-language image retrieval via spoken query. Two approaches are proposed to recognize and translate spoken queries. We also propose a similarity-based approach to identify and backward transliterate named entities in a spoken query.

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تاریخ انتشار 2004