Sequential pattern mining of geo-tagged photos with an arbitrary regions-of-interest detection method

Cai, Guochen, Hio, Chihiro, Bermingham, Luke, Lee, Kyungmi, and Lee, Ickjai (2014) Sequential pattern mining of geo-tagged photos with an arbitrary regions-of-interest detection method. Expert Systems with Applications, 41 (7). pp. 3514-3526.

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Abstract

Geo-tagged photos leave trails of movement that form trajectories. Regions-of- interest detection identifies interesting hot spots where many trajectories visit and large geo-tagged photos are uploaded. Extraction of exact shapes of regions-of- interest is a key step to understanding these trajectories and mining sequential trajectory patterns. This article introduces an efficient and effective grid-based regions-of-interest detection method that is linear to the number of grid cells, and is able to detect arbitrary shapes of regions-of-interest. The proposed algorithm is combined with sequential pattern mining to reveal sequential trajectory patterns. Experimental results reveal quality regions-of-interest and promising sequential trajectory patterns that demonstrate the benefits of our algorithm.

Item ID: 30096
Item Type: Article (Refereed Research - C1)
Keywords: sequential pattern mining; geo-tagged photo; regions-of-interest; trajectory pattern mining
ISSN: 0957-4174
Date Deposited: 08 Nov 2013 04:43
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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