An alternative image retrieval system based on visual and thematic corpus organisation
Gérald Duffing · 2003
Retrieving images in large databases involves either thematic or visual querying capabilities. We think that both approaches can be efficiently combined to provide a thematically and visually relevant retrieval. This paper deals with bi-modal access in image retrieval systems. Our approach relies on a corpus organisation based on both visual and thematic clustering, allowing access to non-indexed images. An adapted retrieval process has been designed to reformulate queries, taking into account users' judgements that deal with thematic and visual aspects of their information needs.