查看文章

This paper introduces a flexible search strategy for image or image category retrieval in large databases. The process is based on a search-by-similarity method in which both request and dissimilarity measure are updated thanks to user interaction. The system copes with complex queries combining relevant images scattered in the database. The effectiveness of the method is emphasized by a quality assessment realized for a large and heterogeneous image database.