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Mining tourist routes using Flickr traces

Published 25 August 2013
Gaël Chareyron, Jérôme Da-Rugna, Bérengère Branchet
Citations15

TL;DR

A new methodology to automatically rebuild main paths from Flickr's traces to reconstruct the tourist's itinerary in the destination considering two modes: the fastest path and the most likely path.

Abstract

This paper is about a new methodology to automatically rebuild main paths from Flickr's traces. Our geotagged image metadata's corpus allows the construction of each photographer's timeline. The tourist's itinerary in the destination can then be reconstructed considering two modes: the fastest path and the most likely path. Major paths are directly extracted from the fusion of all itineraries. To illustrate the multi-scale efficiency of this work, several fields of study are presented: Berlin, the Loire Valley and the Palace of Versailles.

Keywords

Computer ScienceEngineering