Details

Autor(en) / Beteiligte

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

Titel

The Emergence of Visual Crowdsensing: Challenges and Opportunities

Ist Teil von

• IEEE Communications surveys and tutorials, 2017-01, Vol.19 (4), p.2526-2543

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2017

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• 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.