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- W2060391337 abstract "In this paper, we present a Geographical Information Retrieval system, which aims to automatically extract and analyze touristic information from photos of online image collections (in our case of study Flickr). Our system collect all the photos, and the related information, that are associated to a specific city. We then use Google Maps service to geolocate the retrieved photos, and finally we analyze geo-referenced data to obtain our goals: 1) determining and locating the most interesting places of the city, i.e. the most visited locations, and 2) reconstructing touristic routes of the users visiting the city. Information is filtered by using a set of constraints, which we apply to select only the users that reasonably are tourists visiting the city. Tests were performed on an Italian city, Palermo, that is rich in artistic and touristic attractions, but preliminary tests showed that our technique could successfully be applied to any city in the world with a reasonable number of touristic landmarks." @default.
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- W2060391337 date "2012-11-01" @default.
- W2060391337 modified "2023-10-18" @default.
- W2060391337 title "Extracting Touristic Information from Online Image Collections" @default.
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- W2060391337 doi "https://doi.org/10.1109/sitis.2012.77" @default.
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