References
[1]
Guo
B,
Wang
Z,
Yu
Z W, et al.
Mobile crowd sensing and computing: the review of an emerging human-powered sensing paradigm.
ACM Comput Surv,
2015, 48: 7
Google Scholar
http://scholar.google.com/scholar_lookup?title=Mobile crowd sensing and computing: the review of an emerging human-powered sensing paradigm&author=Guo B&author=Wang Z&author=Yu Z W&publication_year=2015&journal=ACM Comput Surv&volume=48&pages=7
[2]
Pang
Y W,
Hao
Q,
Yuan
Y, et al.
Summarizing tourist destinations by mining user-generated travelogues and photos.
Comput Vis Image Understand,
2011, 115: 352
CrossRef
Google Scholar
http://scholar.google.com/scholar_lookup?title=Summarizing tourist destinations by mining user-generated travelogues and photos&author=Pang Y W&author=Hao Q&author=Yuan Y&publication_year=2011&journal=Comput Vis Image Understand&volume=115&pages=352
[3]
Yu
Z W,
Xu
H,
Yang
Z, et al.
Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints.
IEEE Trans Hum-Mach Syst,
2016, 46: 151-158
CrossRef
Google Scholar
http://scholar.google.com/scholar_lookup?title=Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints&author=Yu Z W&author=Xu H&author=Yang Z&publication_year=2016&journal=IEEE Trans Hum-Mach Syst&volume=46&pages=151-158
[4]
Kaneko
T,
Yanai
K.
Event photo mining from Twitter using keyword bursts and image clustering.
Neurocomputing,
2016, 172: 143-158
CrossRef
Google Scholar
http://scholar.google.com/scholar_lookup?title=Event photo mining from Twitter using keyword bursts and image clustering&author=Kaneko T&author=Yanai K&publication_year=2016&journal=Neurocomputing&volume=172&pages=143-158
[5]
Chen H H, Guo B, Yu Z W, et al. Toward real-time and cooperative mobile visual sensing and sharing. In: Proceedings of IEEE International Conference on Computer Communications. Washington, DC: IEEE, 2016. 1359--1368.
Google Scholar
http://scholar.google.com/scholar_lookup?title=Chen H H, Guo B, Yu Z W, et al. Toward real-time and cooperative mobile visual sensing and sharing. In: Proceedings of IEEE International Conference on Computer Communications. Washington, DC: IEEE, 2016. 1359--1368&
[6]
Reddy S, Estrin D, Hansen M, et al. Examining micro-payments for participatory sensing data collections. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing. New York: ACM, 2010. 33--36.
Google Scholar
http://scholar.google.com/scholar_lookup?title=Reddy S, Estrin D, Hansen M, et al. Examining micro-payments for participatory sensing data collections. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing. New York: ACM, 2010. 33--36&
[7]
Chen H H, Guo B, Yu Z W, et al. CrowdPic: a multi-coverage picture collection framework for mobile crowd photographing. In: Proceedings of the 12th IEEE International Conference on Ubiquitous Intelligence and Computing, Beijing, 2015. 68--76.
Google Scholar
http://scholar.google.com/scholar_lookup?title=Chen H H, Guo B, Yu Z W, et al. CrowdPic: a multi-coverage picture collection framework for mobile crowd photographing. In: Proceedings of the 12th IEEE International Conference on Ubiquitous Intelligence and Computing, Beijing, 2015. 68--76&
[8]
Kim S, Robson C, Zimmerman T, et al. Creek watch: pairing usefulness and usability for successful citizen science. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, 2011. 2125--2134.
Google Scholar
http://scholar.google.com/scholar_lookup?title=Kim S, Robson C, Zimmerman T, et al. Creek watch: pairing usefulness and usability for successful citizen science. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, 2011. 2125--2134&
[9]
Guo
B,
Chen
H H,
Yu
Z W, et al.
FlierMeet: a mobile crowdsensing system for cross-space public information reposting, tagging, and sharing.
IEEE Trans Mob Comput,
2015, 14: 2020-2033
CrossRef
Google Scholar
http://scholar.google.com/scholar_lookup?title=FlierMeet: a mobile crowdsensing system for cross-space public information reposting, tagging, and sharing&author=Guo B&author=Chen H H&author=Yu Z W&publication_year=2015&journal=IEEE Trans Mob Comput&volume=14&pages=2020-2033
[10]
Koukoumidis
E,
Martonosi
M,
Peh
L S.
Leveraging smartphone cameras for collaborative road advisories.
IEEE Trans Mob Comput,
2012, 11: 707-723
CrossRef
Google Scholar
http://scholar.google.com/scholar_lookup?title=Leveraging smartphone cameras for collaborative road advisories&author=Koukoumidis E&author=Martonosi M&author=Peh L S&publication_year=2012&journal=IEEE Trans Mob Comput&volume=11&pages=707-723
[11]
Goldman J, Shilton K, Burke J, et al. Participatory sensing: a citizen-powered approach to illuminating the patterns that shape our world. Foresight & Governance Project, White Paper, 2009. 1--15.
Google Scholar
http://scholar.google.com/scholar_lookup?title=Goldman J, Shilton K, Burke J, et al. Participatory sensing: a citizen-powered approach to illuminating the patterns that shape our world. Foresight & Governance Project, White Paper, 2009. 1--15&
[12]
Jiang Y R, Xu X, Terlecky P, el al. Mediascope: selective on-demand media retrieval from mobile devices. In: Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Philadelphia, 2013. 289--300.
Google Scholar
http://scholar.google.com/scholar_lookup?title=Jiang Y R, Xu X, Terlecky P, el al. Mediascope: selective on-demand media retrieval from mobile devices. In: Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Philadelphia, 2013. 289--300&