A framework for mining semantic-level tourist movement behaviours from geo-tagged photos

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2016) A framework for mining semantic-level tourist movement behaviours from geo-tagged photos. In: Lecture Notes in Computer Science (9992) pp. 519-524. From: AI 2016: 29th Australasian Joint Conference on Artificial Intelligence, 5-8 December 2016, Hobart, TAS, Australia.

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Abstract

This study investigates tourist movement patterns on the type of place semantic-level. We extract the semantic common movement patterns that a group of tourists have similar movement trajectories on the semantic level, and find out semantic trajectory patterns which are sequences of the type of place objects with transit time. Using real geo-tagged photos, we find out interesting common movement patterns and trajectory patterns. These results provide richer information and understanding of tourist movement behaviour on the type of place semantic-level.

Item ID: 47542
Item Type: Conference Item (Research - E1)
ISBN: 978-3-319-50127-7
Keywords: semantics, trajectory data mining, movement behaviors, geo-tagged photos
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Date Deposited: 15 Mar 2017 00:19
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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