The outline of an 'intelligent' image retrieval engine

The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-level aspects (e.g. colors, textures...) without considering the semantic content of images. This obviously compromises interaction, making it difficult for a user to query with precision. The growing need for `intelligent' systems, i.e. being capable of bridging this semantic gap, leads to new architectures combining multiple characterizations of the image content. This paper presents SIAIR, a promising highlevel framework featuring semantics, signal color and spatial characterizations. It features a fully-textual query module based on a language manipulating both boolean and quantification operators, therefore making it possible for a user to request elaborate image scenes such as a "covered(mostly grey) sky" or "people in front of a building". KEYWORDS Multimedia, Image Retrieval, Aut...

• Type: Conference
• Year: 2004
• Where: IADIS
• Authors: Mohammed Belkhatir, Philippe Mulhem, Yves Chiaramella
• Keywords: IADIS 2004, IADIS 2008, Image, Image Retrieval, Image Retrieval Systems