Extracting Bimodal Representations for Language-Based Image Retrieval

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.