research-article

FlierMeet: cross-space public information reposting with mobile crowd sensing

Authors:

Bin Guo,

Zhu WangAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 59 - 62

https://doi.org/10.1145/2638728.2638730

Published: 13 September 2014 Publication History

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Abstract

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 crossspace 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.

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Cited By

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Yu ZWang ZYu ZWang Z(2020)Group Behavior RecognitionHuman Behavior Analysis: Sensing and Understanding10.1007/978-981-15-2109-6_6(139-218)Online publication date: 1-Mar-2020
https://doi.org/10.1007/978-981-15-2109-6_6
Liu YKong LChen G(2019)Data-Oriented Mobile Crowdsensing: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2019.291085521:3(2849-2885)Online publication date: Nov-2020
https://doi.org/10.1109/COMST.2019.2910855
Guo BLiu YWang LLi VLam JYu Z(2018)Task Allocation in Spatial Crowdsourcing: Current State and Future DirectionsIEEE Internet of Things Journal10.1109/JIOT.2018.28159825:3(1749-1764)Online publication date: Jun-2018
https://doi.org/10.1109/JIOT.2018.2815982
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Index Terms

FlierMeet: cross-space public information reposting with mobile crowd sensing
1. Human-centered computing

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FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing
Community bulletin boards serve an important function for public information sharing in modern society. Posted fliers advertise services, events, and other announcements. However, fliers posted offline suffer from problems such as limited spatial-temporal ...
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Published In

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

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Published: 13 September 2014

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UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Yu ZWang ZYu ZWang Z(2020)Group Behavior RecognitionHuman Behavior Analysis: Sensing and Understanding10.1007/978-981-15-2109-6_6(139-218)Online publication date: 1-Mar-2020
https://doi.org/10.1007/978-981-15-2109-6_6
Liu YKong LChen G(2019)Data-Oriented Mobile Crowdsensing: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2019.291085521:3(2849-2885)Online publication date: Nov-2020
https://doi.org/10.1109/COMST.2019.2910855
Guo BLiu YWang LLi VLam JYu Z(2018)Task Allocation in Spatial Crowdsourcing: Current State and Future DirectionsIEEE Internet of Things Journal10.1109/JIOT.2018.28159825:3(1749-1764)Online publication date: Jun-2018
https://doi.org/10.1109/JIOT.2018.2815982
Wang ZGuo BYu ZWu WZhang JWang ZChen H(2016)PublicSense: A Crowd Sensing Platform for Public Facility Management in Smart Cities2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld)10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038(114-120)Online publication date: Jul-2016
https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0038
Guo BYu ZChen LZhou XMa X(2016)MobiGroup: Enabling Lifecycle Support to Social Activity Organization and Suggestion With Mobile Crowd SensingIEEE Transactions on Human-Machine Systems10.1109/THMS.2015.250329046:3(390-402)Online publication date: Jun-2016
https://doi.org/10.1109/THMS.2015.2503290
Foremski PGorawski MGrochla KPolys K(2015)Energy-Efficient Crowdsensing of Human Mobility and Signal Levels in Cellular NetworksSensors10.3390/s15092206015:9(22060-22088)Online publication date: 2-Sep-2015
https://doi.org/10.3390/s150922060
Chen HGuo BYu ZChen L(2015)CrowdPic: A Multi-coverage Picture Collection Framework for Mobile Crowd Photographing2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.34(68-76)Online publication date: Aug-2015
https://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.34
An JGui XWang ZYang JHe X(2015)A Crowdsourcing Assignment Model Based on Mobile Crowd Sensing in the Internet of ThingsIEEE Internet of Things Journal10.1109/JIOT.2015.24150352:5(358-369)Online publication date: Oct-2015
https://doi.org/10.1109/JIOT.2015.2415035
Nan WGuo BHuangfu SYu ZChen HZhou X(2014)A Cross-Space, Multi-interaction-Based Dynamic Incentive Mechanism for Mobile Crowd SensingProceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)10.1109/UIC-ATC-ScalCom.2014.105(179-186)Online publication date: 9-Dec-2014
https://dl.acm.org/doi/10.1109/UIC-ATC-ScalCom.2014.105

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FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing

A Cross-Space, Multi-interaction-Based Dynamic Incentive Mechanism for Mobile Crowd Sensing

Organization and Tagging of Blog and News Entries Based on Content Reuse

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