Object-Based Image Retrieval Using Active Nets
D. Garcya-Perez, A. Mosquera, Stefano Berretti, Alberto Del Bimbo · 2006
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