@InProceedings{XavierBaro2009,
author="Xavier Baro
and Sergio Escalera
and Petia Radeva
and Jordi Vitria",
title="Visual Content Layer for Scalable Recognition in Urban Image Databases, Internet Multimedia Search and Mining",
booktitle="10th IEEE International Conference on Multimedia and Expo",
year="2009",
pages="1616--1619",
abstract="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.",
optnote="OR;MILAB;HuPBA;MV",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1189), last updated on Tue, 17 Dec 2013 13:03:27 +0100",
isbn="978-1-4244-4291-1",
opturl="http://dl.acm.org/citation.cfm?id=1698924.1699332"
}