The Emergence of Visual Crowdsensing: Challenges and Opportunities

Bin Guo; Qi Han; Huihui Chen; Longfei Shangguan; Zimu Zhou; Zhiwen Yu

doi:10.1109/COMST.2017.2726686

The Emergence of Visual Crowdsensing: Challenges and Opportunities

Bin Guo, Qi Han, Huihui Chen, Longfei Shangguan, Zimu Zhou, Zhiwen Yu

School of Computer Science

Research output: Contribution to journal › Article › peer-review

81 Scopus citations

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.

Original language	English
Article number	7982609
Pages (from-to)	2526-2543
Number of pages	18
Journal	IEEE Communications Surveys and Tutorials
Volume	19
Issue number	4
DOIs	https://doi.org/10.1109/COMST.2017.2726686
State	Published - 1 Oct 2017

Keywords

Visual crowdsensing
crowd intelligence
data selection
mobile crowdsensing
object imagery
visual data understanding

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10.1109/COMST.2017.2726686

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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.",

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The Emergence of Visual Crowdsensing: Challenges and Opportunities

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