Approximate retrieval from multimedia databases using relevance feedback

Abstract

We address the problem of retrieving stored multimedia presentations using relevance feedback. We model multimedia presentations using a crisp relational or object oriented database, augmented with a text attribute. We also introduce a language for retrieval by content from such databases. The language is based on fuzzy logic. We also introduce a method for query refinement that uses relevance feedback provided by the user.