Mining frequent trajectory patterns and regions-of-interest from Flickr photos

Cai, Guochen, Hio, Chihiro, Bermingham, Luke, Lee, Kyungmi, and Lee, Ickjai (2014) Mining frequent trajectory patterns and regions-of-interest from Flickr photos. In: Proceedings of the 47th Annual Hawaii International Conference on System Sciences, pp. 1454-1463. From: HICSS-47: 47th Annual Hawaii International Conference on System Sciences, 6-9 January 2014, Waikoloa, HI, USA.

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Abstract

Flickr represents a massive opportunity to mine valuable human movement data from geo-tagged photos. However, existing Flickr trajectory data mining research has not considered mining frequent trajectory patterns whilst also considering the temporal domain. Therefore, a significant opportunity exists to demonstrate the application of a pattern mining algorithm to a large geo-tagged photo dataset. Thus, we present a novel application of the trajectory pattern mining algorithm to a 2012 Flickr dataset of Australia and encompassing state, Queensland. In our experiments we show that many interesting, previously unknown patterns discovered through our framework. Our framework is able to discover expected major landmarks such as cities and tourist attractions. In addition, we make the notable discover of what is theorized to be valuable tourist travel information about sequential movements between hot-spot attractions.

Item ID: 34467
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: Flickr photos, regions-of-interest, trajectory pattern mining, data mining, social networking (online, travel industry
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ISBN: 978-1-4799-2504-9
Date Deposited: 13 Aug 2014 00:33
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 > 890201 Application Software Packages (excl. Computer Games) @ 100%
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