TY  - CONF
AU  - Xavier Baro
AU  - Sergio Escalera
AU  - Petia Radeva
AU  - Jordi Vitria
A2  - ICME
PY  - 2009//
TI  - Visual Content Layer for Scalable Recognition in Urban Image Databases, Internet Multimedia Search and Mining
BT  - 10th IEEE International Conference on Multimedia and Expo
SP  - 1616–1619
N2  - 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.
SN  - 978-1-4244-4291-1
UR  - http://dl.acm.org/citation.cfm?id=1698924.1699332
N1  - OR;MILAB;HuPBA;MV
ID  - Xavier Baro2009
ER  -