IMTHAC: Artwork image recovery system

Following the increase in the different areas of knowledge of multimedia databases, image retrieval by content (CBIR) has captured attention in the last decade. In this paper we present an image retrieval system of art, developed to query and exploration of a collection of art images by QBE, considering similarity criteria: the color palette, the use of light and the technique used. These similarity criteria are analyzed by extracting low-level features such as color, texture and spatial relationships.