FlierMeet: Cross-Space Public Information Reposting with Mobile Crowd Sensing

被引：8
|
作者：
Guo, Bin [1 ]
Chen, Huihui [1 ]
Yu, Zhiwen [1 ]
Xie, Xing [2 ]
Huangfu, Shenlong [1 ]
Wang, Zhu [1 ]
机构：
[1] Northwestern Polytech Univ, 128 Youyi West Rd, Xian, Peoples R China
[2] Microsoft Res Asia, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2014 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING (UBICOMP'14 ADJUNCT) | 2014年
关键词：
Mobile crowd sensing; cross-space; urban sensing; crowd-object interaction; tagging; recommendation;
D O I：
10.1145/2638728.2638730
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Bulletin boards serve an important function for public information sharing. Posted fliers advertise services, events and other announcements. However, fliers posted offline suffer from problems such as limited spatial-temporal coverage and inefficient search aid. In recent years, with the development of sensor-enhanced mobile devices, mobile crowd sensing has been used in a variety of application areas. In this paper we present FlierMeet, a crowd-powered sensing system for cross-space public information reposting, tagging and sharing. The tags are auto-labeled based on a set of visual and crowd-object interaction features. Initial deployments and experiments prove the effectiveness of our system.
引用
收藏
页码：59 / 62
页数：4
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