Paper Info
Title
Automatic Analysis of Geotagged Photos for Intelligent Tourist Services
Abstract
Web communities are making available an increasing volume of free, fresh, detailed and powerful information about living people. Among them, the Flickr photo-sharing service offers to researchers a database of several millions of geotagged pictures from users all around the world. Working on that opens the door to the study of meaningful mobility data, where title and description of a geotagged picture represent a mine from which extract labels to detect places and events, and useful information about user trends, behaviors and tastes. Our approach goes in the direction of developing an intelligence and unattended system able to extract and take advantage of up-to-date and spontaneous information embedded with pictures, making cities intelligent and able to reach user expectations. Such system, learning from past touristic user experiences, could make customized recommendations on “where to go”, and “what to see”, to people going to visit touristic places for the first time.
Year
DOI
Venue
2010
10.1109/IE.2010.34
Intelligent Environments
Keywords
Field
DocType
localization,geotagged picture,user expectation,photo sharing service,touristic place,intelligent tourist services,flickr photo-sharing service,travel industry,geotagged photos,customized recommendation,unattended system,automatic analysis,past touristic user experience,powerful information,making recommendations,user trend,geotagged data,geotagged photo,intelligent tourist service,flickr,useful information,spontaneous information,histograms,data mining,databases,user experience,feature extraction,filtering
User expectations,World Wide Web,Computer science,Tourism,Feature extraction
Conference
ISBN
Citations 
PageRank 
978-0-7695-4149-5
19
1.05
References 
Authors
11
3
Name
Order
Citations
PageRank
Marco Mamei11521106.83
Alberto Rosi238122.56
Franco Zambonelli34662330.78