Visual content layer for scalable object recognition in urban image databases

Xavier Baro, Sergio Escalera, Petia Radeva, Jordi Vitria
2009 2009 IEEE International Conference on Multimedia and Expo  
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
more » ... 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.
doi:10.1109/icme.2009.5202828 dblp:conf/icmcs/BaroERV09 fatcat:6ioyf6ap6jcn7lxeyeara3dbxa