In this paper, we present a GeographicalInformation Retrieval system, which aims to automaticallyextract and analyze touristic information from photos ofonline image collections (in our case of study Flickr). Oursystem collect all the photos, and the related information,that are associated to a specific city. We then use GoogleMaps service to geolocate the retrieved photos, and finallywe analyze geo-referenced data to obtain our goals: 1)determining and locating the most interesting places of thecity, i.e. the most visited locations, and 2) reconstructingtouristic routes of the users visiting the city. Information isfiltered by using a set of constraints, which we apply to selectonly the users that reasonably are tourists visiting the city.Tests were performed on an Italian city, Palermo, that is richin artistic and touristic attractions, but preliminary testsshowed that our technique could successfully be applied toany city in the world with a reasonable number of touristiclandmarks.
|Number of pages||7|
|Publication status||Published - 2012|
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Networks and Communications
- Signal Processing