%0 Conference Proceedings
%T Generic Object Recognition in Urban Image Databases
%A Xavier Baro
%A Sergio Escalera
%A Petia Radeva
%A Jordi Vitria
%B 12th International Conference of the Catalan Association for Artificial Intelligence
%D 2009
%V 202
%@ 978-1-60750-061-2
%F Xavier Baro2009
%O OR;MILAB;HuPBA;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1183), last updated on Tue, 17 Dec 2013 13:20:58 +0100
%X In this paper we propose the construction of a visual content layer which describes the visual appearance of geographic locations in a city. We captured, by means of a Mobile Mapping system, a huge set of georeferenced images (>500K) which cover the whole city of Barcelona. For each image, hundreds of region descriptions are computed off-line and described as a hash code. All this information is extracted without an object of reference, which allows to search for any type of objects using their visual appearance. A new Visual Content layer is built over Google Maps, allowing the object recognition information to be organized and fused with other content, like satellite images, street maps, and business locations.
%U http://dx.doi.org/10.3233/978-1-60750-061-2-27
%P 27-34