SCIENCE CHINA Information Sciences, Volume 59 , Issue 8 : 083101(2016) https://doi.org/10.1007/s11432-016-5597-6

Mobile crowd photographing: another way to watch our world

More info
  • ReceivedJan 28, 2016
  • AcceptedMay 1, 2016
  • PublishedJul 18, 2016




This work was partially supported by National Basic Research Program of China (973) (Grant No. 2015CB352400), National Natural Science Foundation of China (Grant Nos. 61332005, 61373119), Fundamental Research Funds for the Central Universities (Grant No. 3102015ZY095).


[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, 487 Google Scholar

[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, 115352 CrossRef Google Scholar

[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, 46151-158 CrossRef Google Scholar

[4] Kaneko T, Yanai K. Event photo mining from Twitter using keyword bursts and image clustering. Neurocomputing, 2016, 172143-158 CrossRef Google Scholar

[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

[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

[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

[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

[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, 142020-2033 CrossRef Google Scholar

[10] Koukoumidis E, Martonosi M, Peh L S. Leveraging smartphone cameras for collaborative road advisories. IEEE Trans Mob Comput, 2012, 11707-723 CrossRef Google Scholar

[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

[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


Contact and support