@InProceedings{XavierBaro2009,
author="Xavier Baro
and Sergio Escalera
and Petia Radeva
and Jordi Vitria",
title="Generic Object Recognition in Urban Image Databases",
booktitle="12th International Conference of the Catalan Association for Artificial Intelligence",
year="2009",
volume="202",
pages="27--34",
abstract="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.",
optnote="OR;MILAB;HuPBA;MV",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1183), last updated on Tue, 17 Dec 2013 13:20:58 +0100",
isbn="978-1-60750-061-2",
doi="10.3233/978-1-60750-061-2-27"
}