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Extracting Bimodal Representations for Language-Based Image Retrieval

By Thijs Westerveld, Djoerd Hiemstra and Franciska De Jong

Abstract

Abstract 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.

Publisher: Springer-Verlag
Year: 2000
OAI identifier: oai:CiteSeerX.psu:10.1.1.182.1451
Provided by: CiteSeerX
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