The Emergence of Visual Crowdsensing: Challenges and Opportunities

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...

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Veröffentlicht in:IEEE Communications surveys and tutorials Jg. 19; H. 4; S. 2526 - 2543
Hauptverfasser: Bin Guo, Qi Han, Huihui Chen, Longfei Shangguan, Zimu Zhou, Zhiwen Yu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.01.2017
Schlagworte:
crowd intelligence
Crowdsourcing
data selection
Mobile communication
mobile crowdsensing
Object detection
object imagery
Redundancy
Sensors
Tutorials
Videos
Visual crowdsensing
visual data understanding
Visualization
ISSN:2373-745X
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Zusammenfassung: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.
ISSN:2373-745X
DOI:10.1109/COMST.2017.2726686