%0 Conference Proceedings
%T Visual Content Layer for Scalable Recognition in Urban Image Databases, Internet Multimedia Search and Mining
%A Xavier Baro
%A Sergio Escalera
%A Petia Radeva
%A Jordi Vitria
%B 10th IEEE International Conference on Multimedia and Expo
%D 2009
%@ 978-1-4244-4291-1
%F Xavier Baro2009
%O OR;MILAB;HuPBA;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1189), last updated on Tue, 17 Dec 2013 13:03:27 +0100
%X Rich online map interaction represents a useful tool to get multimedia information related to physical places. With this type of systems, users can automatically compute the optimal route for a trip or to look for entertainment places or hotels near their actual position. Standard maps are defined as a fusion of layers, where each one contains specific data such height, streets, or a particular business location. 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. This allows an efficient and scalable way of accessing maps by visual content.
%U http://dl.acm.org/citation.cfm?id=1698924.1699332
%P 1616–1619