DocumentCode :
2936739
Title :
Visual content layer for scalable object recognition in urban image databases
Author :
Baró, Xavier ; Escalera, Sergio ; Radeva, Petia ; Vitrià, Jordi
Author_Institution :
Comput. Vision Center, Barcelona, Spain
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
1616
Lastpage :
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 (> 500 K) 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.
Keywords :
cartography; computer vision; object recognition; visual databases; computer vision; geographic location; hash code; mobile mapping system; multimedia information; online map interaction; scalable object recognition; urban image databases; visual content layer; Cities and towns; Computer vision; Image databases; Image recognition; Indexing; Information retrieval; Internet; Object recognition; Spatial databases; Visual databases; Visual content; computer vision; map layer; object recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202828
Filename :
5202828
Link To Document :
بازگشت