The emergence of visual crowdsensing: Challenges and opportunities

• Main Authors: GUO, Bin, HAN, Qi, CHEN, Huihui, SHANGGUAN, Longfei, ZHOU, Zimu, YU, Zhiwen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4922
• Institution: Singapore Management University

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.