Sequential pattern mining of geo-tagged photos with an arbitrary regions-of-interest detection method
作者：
Highlights：
• Propose an arbitrary shape detection regions-of-interest mining algorithm.
• Propose a sequential trajectory pattern mining framework for Flickr geo-tagged photos.
• First time analyzing geo-tagged photos using sequential trajectory pattern mining.
• Experiments supporting the applicability, and effectiveness of our proposed algorithm.
摘要
•Propose an arbitrary shape detection regions-of-interest mining algorithm.•Propose a sequential trajectory pattern mining framework for Flickr geo-tagged photos.•First time analyzing geo-tagged photos using sequential trajectory pattern mining.•Experiments supporting the applicability, and effectiveness of our proposed algorithm.
论文关键词：Sequential pattern mining,Geo-tagged photo,Regions-of-interest,Trajectory pattern mining
论文评审过程：Available online 5 November 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.057
