6533b861fe1ef96bd12c4f35
RESEARCH PRODUCT
Extracting Touristic Information from Online Image Collections
Edoardo ArdizzoneMarco La CasciaFrancesco Di MiceliGiuseppe Mazzolasubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniService (systems architecture)Information retrievalGeographic information systemComputer sciencebusiness.industryFlickr Geotagging Tourism Geographic Information Retrieval GIS Google MapsImage (mathematics)Geographic information retrievalSet (abstract data type)World Wide WebGeotaggingGeolocationbusinessTourismdescription
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.
year | journal | country | edition | language |
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2012-11-01 |