Knowledge Commons of Institute of Automation,CAS
Exploiting Social-Mobile Information for Location Visualization | |
Sang, Jitao; Fang, Quan; Xu, Changsheng | |
发表期刊 | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY |
2017-04-01 | |
卷号 | 8期号:3页码:19 |
文章类型 | Article |
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. |
关键词 | Geotagged Photo Point Of Interest Location Visualization |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1145/3001594 |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61432019 ; 61225009 ; 61303176 ; 61672518 ; 61272256 ; 61332016) |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS记录号 | WOS:000400160800006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15268 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
作者单位 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
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. |
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a39-sang.pdf(1009KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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