Exploiting Social-Mobile Information for Location Visualization

doi:10.1145/3001594

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 多媒体计算与图形学团队

	Exploiting Social-Mobile Information for Location Visualization
	Sang, Jitao; Fang, Quan; Xu, Changsheng
刊名	ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
	2017-04-01
卷号	8 期号:3 页码:19
关键词	Geotagged Photo Point Of Interest Location Visualization
DOI	10.1145/3001594
文献子类	Article
英文摘要	With a smart phone at hand, it becomes easy now to snap pictures and publish them online with few lines of texts. The GPS coordinates and User-Generated Content (UGC) data embedded in the shared photos provide opportunities to exploit important knowledge to tackle interesting tasks like geographically organizing photos and location visualization. In this work, we propose to organize photos both geographically and semantically, and investigate the problem of location visualization from multiple semantic themes. The novel visualization scheme provides a rich display landscape for geographical exploration from versatile views. A two-level solution is presented, where we first identify the highly photographed places of interest (POI) and discover their focused themes, and then aggregate the lower-level POI themes to generate the higher-level city themes for location visualization. We have conducted experiments on crawled Flickr and Instagram data and exhibited the visualization for the cities of Singapore and Sydney. The experimental results have validated the proposed method and demonstrated the potentials of location visualization from multiple themes.
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000400160800006
资助机构	National Natural Science Foundation of China(61432019 ; 61225009 ; 61303176 ; 61672518 ; 61272256 ; 61332016)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/15268]
专题	自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位	Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Sang, Jitao,Fang, Quan,Xu, Changsheng. Exploiting Social-Mobile Information for Location Visualization[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2017,8(3):19.
APA	Sang, Jitao,Fang, Quan,&Xu, Changsheng.(2017).Exploiting Social-Mobile Information for Location Visualization.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,8(3),19.
MLA	Sang, Jitao,et al."Exploiting Social-Mobile Information for Location Visualization".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 8.3(2017):19.