Title :
An analysis of the relation between visual concepts and geo-locations using geotagged images on the web
Author :
Kawakubo, Hidetoshi ; Yanai, Keiji
Author_Institution :
Dept. of Comput. Sci., Univ. of Electro-Commun., Chofu, Japan
fDate :
June 28 2009-July 3 2009
Abstract :
Recently, a large number of geotagged images are available on photo sharing Web sites such as Flickr. In this paper, we propose image region entropy and geo-location entropy for analyzing the relation between visual concepts and geographical locations using a large-scale geotagged image database. Image region entropy represents to what extent concepts have visual characteristics, while geo-location entropy represents to what extent concepts are distributed over the world. In the experiment, we analyzed relations between image region entropy and geo-location entropy in terms of 230 nouns and 100 adjectives, and we found that the concepts with low image entropy tend to have high geo-location entropy and vice versa.
Keywords :
Web sites; entropy; image representation; probability; very large databases; visual databases; PLSA; geo-location entropy; geographical location; image region entropy representation; large-scale geotagged image database; photo sharing Web site; probabilistic latent semantic analysis; Computer science; Entropy; Image analysis; Image databases; Image texture analysis; Large-scale systems; Performance evaluation; Support vector machine classification; Support vector machines; User-generated content; Flickr; PLSA; bag-offeatures; entropy; geotag;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202835
