Extracting Bimodal Representations for Language-Based Image Retrieval

  title={Extracting Bimodal Representations for Language-Based Image Retrieval},
  author={Thijs Westerveld and Djoerd Hiemstra and Franciska de Jong},
This paper explores two approaches to multimedia indexing that might contribute to the advancement of text-based conceptual search for pictorial information. Insights from relatively mature retrieval areas (spoken document retrieval and cross-language retrieval) are taken as a starting point for an investigation of the usefulness of the concept of bimodal dictionaries and of clustering features from multi-modal documents into one semantic space. One of the advantages of the presented techniques… CONTINUE READING

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Showing 1-10 of 10 references

Computer vision and image search engines

  • D. W. Oard, B. J. Dorr, A. W. M. Smeulders, M. L. Kersten
  • 1998

Kersten, Computer vision and image search engines

  • A.W.M. Smeulders, M.L.T. Gevers
  • Proceedings of the 14th Twente Workshop on Lang u…
  • 1998
2 Excerpts

Automa tic Cross-Linguistic Information Retrieval using Latent Semantic Indexing, In: Proce edings SIGIR96

  • S. T. Dumais, T. K. Landauer, M. L. Littman
  • Workshop On CrossLinguistic Information Retrieval…
  • 1996
1 Excerpt