The Emergence of Visual Crowdsensing: Challenges and Opportunities

IEEE Communications Surveys and Tutorials

Volumn 19, Issue 4, 2017, Pages 2526-2543

  Guo, Bin ^a   Han, Qi ^b   Chen, Huihui ^a   Shangguan, Longfei ^c   Zhou, Zimu ^d   Yu, Zhiwen ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b Department of Geology and Geological Engineering   (United States)

^c PRINCETON UNIVERSITY   (United States)

^d ETH ZURICH   (Switzerland)

Author keywords

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

Indexed keywords

ELECTRICAL ENGINEERING; SURVEYS;

CROWD INTELLIGENCE; DATA SELECTION; MOBILE CROWDSENSING; OBJECT IMAGERY; VISUAL CROWDSENSING; VISUAL DATA;

DATA HANDLING;

EID: 85028841534     PISSN: None     EISSN: 1553877X     Source Type: Journal    
DOI: 10.1109/COMST.2017.2726686     Document Type: Article

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