CrowdMM 2017 - SPECIAL SESSION ON Crowdsourcing for Multimedia

The power of crowds ? leveraging a large number of human contributors and the capabilities of human computation ? has enormous potential to address key challenges in the area of multimedia research. Applications range from the exploitation of unsolicited user contributions, such as using tags to aid understanding of the visual content of yet-unseen images, to utilizing crowdsourcing platforms and marketplaces like Amazon’s Mechanical Turk and CrowdFlower, which micro-outsource tasks such as semantic video annotation to a large population of workers.
crowdMM2017At present, crowdsourcing remains notoriously difficult to exploit effectively to achieve sustainable results that are valid and interesting in the long run. in multimedia settings: the challenge arises from the fact that a community of users or workers is a complex and dynamic system highly sensitive to changes in the form and the parameterization of their activities. While this and other methodological issues are known, they are yet far from solved, and the community is just starting determining best practices for the exploitation of crowdsourcing at its full potential to support multimedia research.
Especially encouraged are contributions that propose solutions for the key challenges that face widespread adoption of crowdsourcing paradigms in the multimedia research community. These include: crowdsourcing in novel areas like affection and intent; social media as a crowdsourcing platform; using game techniques in crowdsourcing; human factors (personal experience of workers, etc.); limitations of the wisdom of the crowd and how to make the outcome of crowdsourcing studies comparable and repeatable.
Topics of Interest
The general topic of CrowdMM is crowdsourcing in multimedia. We appreciate submissions discussing one or more aspects from the following list in the context of multimedia:
Affect, intent, and crowds
Crowdsourcing on social media
Game based crowdsourcing
Human factors in crowdsourcing
Limits to the wisdom of the crowd
Comparability and repeatability
Beside the topic tackled in the submission we encourage submission of the following types:
Applications: critical discussion and lessons learned from domain specific tasks
Methodology: how to interpret results, set up studies, deal with inconsistencies
Innovative methods: novel approaches and brave new ideas