The emergence of visual crowdsensing: Challenges and opportunities

Publication Type

Journal Article

Publication Date

7-2017

Abstract

Visual crowdsensing (VCS), which leverages built-in cameras of smart devices to attain informative and comprehensive sensing of interesting targets, has become a predominant sensing paradigm of mobile crowdsensing (MCS). Compared to MCS tasks using other sensing modalities, VCS faces numerous unique issues, such as multi-dimensional coverage needs, data redundancy identification and elimination, low-cost transmission, as well as high data processing cost. This paper characterizes the concepts, unique features, and novel application areas of VCS, and investigates its challenges and key techniques. A generic framework for VCS systems is then presented, followed by discussions about the future directions of crowdsourced picture transmission and the experimental setup in VCS system evaluation.

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Communications Surveys and Tutorials, IEEE Communications Society

Volume

19

Issue

4

First Page

2526

Last Page

2543

ISSN

1553-877X

Identifier

10.1109/COMST.2017.2726686

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Additional URL

https://doi.org/10.1109/COMST.2017.2726686

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