Extracting Touristic Information from Online Image Collections

Di Miceli, F

Risultato della ricerca: Paper

4 Citazioni (Scopus)

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.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2012

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Signal Processing
  • Computer Networks and Communications

Cita questo

Extracting Touristic Information from Online Image Collections. / Di Miceli, F.

2012.

Risultato della ricerca: Paper

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