CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Exploiting Social-Mobile Information for Location Visualization
Sang, Jitao; Fang, Quan; Xu, Changsheng
Source PublicationACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
2017-04-01
Volume8Issue:3Pages:19
SubtypeArticle
AbstractWith 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.
KeywordGeotagged Photo Point Of Interest Location Visualization
WOS HeadingsScience & Technology ; Technology
DOI10.1145/3001594
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61432019 ; 61225009 ; 61303176 ; 61672518 ; 61272256 ; 61332016)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000400160800006
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15268
Collection模式识别国家重点实验室_多媒体计算与图形学
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
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.
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