A General-purpose Crowdsourcing Platform for Mobile Devices

Ariel Amato, Felipe Lumbreras, Angel D. Sappa

2014

Abstract

This paper presents details of a general purpose micro-task on-demand platform based on the crowdsourcing philosophy. This platform was specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquity and iii) embedded sensors. The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks. Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and tasksolver). Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way. Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications. Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform.

References

  1. Amato, A., Sappa, A. D., Fornés, A., Lumbreras, F., and Lladós, J. (2013). Divide and conquer: atomizing and parallelizing a task in a mobile crowdsourcing platform. In Proceedings of the 2Nd ACM International Workshop on Crowdsourcing for Multimedia, CrowdMM 7813, pages 21-22.
  2. Demirbas, M., Bayir, M. A., Akcora, C. G., and Yilmaz, Y. S. (2010). Crowd-sourced sensing and collaboration using twitter. In IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), pages 1-9.
  3. Eagle, N. (2009). txteagle: Mobile crowdsourcing. In In Internationalization, Design and Global Development, Volume 5623 of Lecture Notes in Computer Science. Springer.
  4. Liu, Y., Lehdonvirta, V., Alexandrova, T., and Nakajima, T. (2012). Drawing on mobile crowds via social media. Multimedia Systems, 18(1):53-67.
  5. Liu, Y., Lehdonvirtay, V., Kleppez, M., Alexandrova, T., Kimura, H., and Nakajima, T. (2010). A crowdsourcing based mobile image translation and knowledge sharing service. In Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia.
  6. Mason, W. A. and Watts, D. J. (2009). Financial incentives and the ”performance of crowds”. SIGKDD Explorations, 11(2):100-108.
  7. McDuff, D., el Kaliouby, R., and Picard, R. (2011). Crowdsourced data collection of facial responses. In Proceedings of the 13th international conference on multimodal interfaces, ICMI 7811, pages 11-18.
  8. Moehrmann, J. and Heidemann, G. (2012). Efficient annotation of image data sets for computer vision applications. In Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications, VIGTA 7812, pages 2:1-2:6, New York, NY, USA. ACM.
  9. Noronha, J., Hysen, E., Zhang, H., and Gajos, K. Z. (2011). Platemate: crowdsourcing nutritional analysis from food photographs. In Proceedings of the 24th annual ACM symposium on User interface software and technology, UIST 7811, pages 1-12.
  10. Romero, V., Fornés, A., Serrano, N., Sánchez, J. A., Tosellia, A. H., Frinken, V., Vidal, E., and Lladós, J. (2013). The esposalles database: An ancient marriage license corpus for off-line handwriting recognition. Pattern Recognition, 46(6):1658-1669.
  11. Snoek, C. G. M., Freiburg, B., Oomen, J., and Ordelman, R. (2010). Crowdsourcing rock n' roll multimedia retrieval. In Proceedings of the 18th International Conference on Multimedia, Firenze, Italy, October 25-29, pages 1535-1538.
  12. Vondrick, C., Patterson, D., and Ramanan, D. (2013). Efficiently scaling up crowdsourced video annotation - a set of best practices for high quality, economical video labeling. International Journal of Computer Vision, 101(1):184-204.
  13. Vondrick, C., Ramanan, D., and Patterson, D. (2010). Efficiently scaling up video annotation with crowdsourced marketplaces. In 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, pages 610-623.
Download


Paper Citation


in Harvard Style

Amato A., Lumbreras F. and Sappa A. (2014). A General-purpose Crowdsourcing Platform for Mobile Devices . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 211-215. DOI: 10.5220/0004737202110215


in Bibtex Style

@conference{visapp14,
author={Ariel Amato and Felipe Lumbreras and Angel D. Sappa},
title={A General-purpose Crowdsourcing Platform for Mobile Devices},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={211-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004737202110215},
isbn={978-989-758-009-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - A General-purpose Crowdsourcing Platform for Mobile Devices
SN - 978-989-758-009-3
AU - Amato A.
AU - Lumbreras F.
AU - Sappa A.
PY - 2014
SP - 211
EP - 215
DO - 10.5220/0004737202110215