Mining Travel Patterns from Geotagged Photos
Tóm tắt
Recently, the phenomenal advent of photo-sharing services, such as Flickr and Panoramio, have led to volumous community-contributed photos with text tags, timestamps, and geographic references on the Internet. The photos, together with their time- and geo-references, become the digital footprints of photo takers and implicitly document their spatiotemporal movements. This study aims to leverage the wealth of these enriched online photos to analyze people’s travel patterns at the local level of a tour destination. Specifically, we focus our analysis on two aspects: (1) tourist movement patterns in relation to the regions of attractions (RoA), and (2) topological characteristics of travel routes by different tourists. To do so, we first build a statistically reliable database of travel paths from a noisy pool of community-contributed geotagged photos on the Internet. We then investigate the tourist traffic flow among different RoAs by exploiting the Markov chain model. Finally, the topological characteristics of travel routes are analyzed by performing a sequence clustering on tour routes. Testings on four major cities demonstrate promising results of the proposed system.
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Tài liệu tham khảo
Bishop C. M., Pattern Recognition and Machine Learning
Das G., Proceedings of the 1st European Symposium on Principles of Data Mining and Knowledge Discovery. Springer-Verlag
Degroot M. H. and Schervish M. J. 2001. Probability and Statistics 3rd Ed. Addison Wesley. Degroot M. H. and Schervish M. J. 2001. Probability and Statistics 3rd Ed. Addison Wesley.
Ester M., Proceedings of the Conference on Knowledge Discovery and Data Mining. ACM
Girardin F., B. J., 2008, Proceedings of 1st International Workshop on Trends in Pervasive and Ubiquitous Geotechnology and Geoinformation. ACM
Ishikawa Y., Proceedings of the 2nd International Workshop on Spatio-Temporal Database Management (STDBM’04)
Kalogerakis E., Proceedings of the International Conference on Computer Vision.
Kawai Y., Proceedings of the IEEE International Conference on Multimedia and Expo. 990--993
Li Y., Proceedings of the International Conference on Computer Vision. 1957--1964
McKercher B. and Lew A. 2004. Tourist flows and the spatial distribution of tourists. In A Companion to Tourism Chapter 3 Wiley Online Library. McKercher B. and Lew A. 2004. Tourist flows and the spatial distribution of tourists. In A Companion to Tourism Chapter 3 Wiley Online Library.
Upton G. J. G. and Fingleton B. 1989. Spatial Data Analysis by Example Vol. 2 Categorical and Directional Data. Wiley & Sons. Upton G. J. G. and Fingleton B. 1989. Spatial Data Analysis by Example Vol. 2 Categorical and Directional Data. Wiley & Sons.
Zheng Y.-T., Proceedings of the 17th International Conference on Advances in Multimedia Modeling Part (MMM’11)
Zheng Y.-T., Proceedings of the International Conference on Computer Vision and Pattern Recognition.