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Proceedings Paper

Smart travel guide: from internet image database to intelligent system
Author(s): Gaël Chareyron; Jérome Da Rugna; Saskia Cousin
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Paper Abstract

To help the tourist to discover a city, a region or a park, many options are provided by public tourism travel centers, by free online guides or by dedicated book guides. Nonetheless, these guides provide only mainstream information which are not conform to a particular tourist behavior. On the other hand, we may find several online image databases allowing users to upload their images and to localize each image on a map. These websites are representative of tourism practices and constitute a proxy to analyze tourism flows. Then, this work intends to answer this question: knowing what I have visited and what other people have visited, where should I go now? This process needs to profile users, sites and photos. our paper presents the acquired data and relationship between photographers, sites and photos and introduces the model designed to correctly estimate the site interest of each tourism point. The third part shows an application of our schema: a smart travel guide on geolocated mobile devices. This android application is a travel guide truly matching the user wishes.

Paper Details

Date Published: 17 February 2011
PDF: 10 pages
Proc. SPIE 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V, 78810F (17 February 2011); doi: 10.1117/12.872501
Show Author Affiliations
Gaël Chareyron, Pôle Univ. Léonard de Vinci (France)
Jérome Da Rugna, Pôle Univ. Léonard de Vinci (France)
Saskia Cousin, IIAC-LAIOS (France)

Published in SPIE Proceedings Vol. 7881:
Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V
David Akopian; Cees G. M. Snoek; Nicu Sebe; Reiner Creutzburg; Lyndon Kennedy, Editor(s)

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