BCN Perceptual Computing Lab Repository

Generic Object Recognition in Urban Image Databases

Baró, Xavier and Escalera, Sergio and Radeva, Petia and Vitrià, Jordi (2009) Generic Object Recognition in Urban Image Databases. Artificial Intelligence Resarch and Development, Frontiers in Artificial Intelligence and Applications, 202 . pp. 27-34. ISSN 978-1-60750-061-2

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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.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:37
Deposited On:03 Nov 2009 18:11
Last Modified:29 Nov 2010 17:52

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