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 is that they are domain independent.
|Title of host publication||Multimedia '99|
|Subtitle of host publication||Proceedings of the Eurographics Workshop in Milano, Italy, September 7–8, 1999|
|Editors||Nuno Correia, Teresa Chambel, Glorianna Davenport|
|Place of Publication||Vienna|
|Number of pages||41|
|Publication status||Published - 2000|
|Event||Eurographics Multimedia Workshop 1999 - Milan, Italy|
Duration: 7 Sep 1999 → 8 Sep 1999
|Workshop||Eurographics Multimedia Workshop 1999|
|Period||7/09/99 → 8/09/99|
Westerveld, T., Hiemstra, D., & de Jong, F. (2000). Extracting bimodal representations for language-based image text retrieval. In N. Correia, T. Chambel, & G. Davenport (Eds.), Multimedia '99: Proceedings of the Eurographics Workshop in Milano, Italy, September 7–8, 1999 (pp. 33-42). (Eurographics). Vienna: Springer.