SOFSEM 2001 28th Annual Conference on Current Trends in Theory and Practice of Informatics November 24 - December 1, 2001 Piestany, Slovak Republic, Europe

Negotiating the Semantic Gap: From Feature Maps to Semantic Landscapes

by William Grosky

After presenting a survey of the state-of-the-art in this area, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This concerns a technique, latent semantic indexing (LSI), in conjunction with normalization and term weighting, which have been used for full-text retrieval for many years. In this environment, LSI determines clusters of co-occurring keywords, sometimes, called concepts, so that a query which uses a particular keyword can then retrieve documents perhaps not containing this keyword, but containing other keywords from the same cluster. In this talk, we examine the use of this technique for content-based image retrieval, using different approaches to image feature representation. We also study the integration of visual features and textual keywords.