In this work, extraction of relevant objects from images and their matching for retrieval is proposed. Objects are represented by using a two dimensional deformable structure referred to as active net, capable to adapt to relevant image regions according to chromatic and edge information. In particular, this representation allows a joint description of color, shape and structural information of extracted objects. A similarity measure between active nets is also defined and validated in a set of retrieval experiments on the ETH-80 objects database.
Citation:
David Garcya-Perez, Antonio Mosquera, Stefano Berretti, Alberto Del Bimbo, "Object-Based Image Retrieval Using Active Nets," icpr, vol. 4, pp.750-753, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006