Interactive Exploration for Image Retrieval

Matthieu Cord, Sylvie Philipp-Foliguet, Philippe-Henri Gosselin, Jérôme Fournier
2005 EURASIP Journal on Advances in Signal Processing  
We present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors. Color analysis is also extended to texture. Using these powerful indexes, an original interactive retrieval strategy is introduced. The process is based on two steps for handling the retrieval of very large image categories. First, a controlled exploration method of the
more » ... ase is presented. Second, a relevance feedback method based on statistical learning is proposed. All the steps are evaluated by experiments on a generalist database.
doi:10.1155/asp.2005.2173 fatcat:hb47phaysve3bb6evqfxlzbvnu