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
OBJECT BASED IMAGE RETRIEVAL USING ACTIVE NETS / D. GARCIA-PEREZ; A. MOSQUERA; S. BERRETTI; A. DEL BIMBO. - STAMPA. - 4:(2006), pp. 750-753. ( 18th International Conference on Pattern Recognition (ICPR'06) Hong-Kong, Cina 20-24 agosto, 2006) [10.1109/ICPR.2006.887].
OBJECT BASED IMAGE RETRIEVAL USING ACTIVE NETS
BERRETTI, STEFANO;DEL BIMBO, ALBERTO
2006
Abstract
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
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