Crowdsourcing for Multimedia Ideas Competition
Best Crowdsourcing Idea
We are happy to announce that the Best Crowdsourcing Idea goes to: Claudia Hauff, TU Delft, "Evaluating the influence of geography and culture in text-to-image translations"
We are pleased to announce the following winning entries to the competition.
- Maria Isabel Povoa, TU Delft, "Crowdsourcing-based Evaluation of Image Aesthetics by Gamification using a Facebook App"
- Maria Isabel Povoa, TU Delft, "Mobile App for Crowdsource-based Task Tracking and Management"
- Philippe Hanhart, EPFL, "Crowdsourcing approach for evaluation of 3D video compression algorithms"
- Luke Gottlieb, International Computer Science Institute, "Binary classification of user generated videos using crowdsourced labor"
- Gianluca Demartini, University of Fribourg, Switzerland, "Mouse Tracking for Spam Detection in Crowdsourcing Platforms"
- Claudia Hauff, TU Delft, "Evaluating the influence of geography and culture in text-to-image translations"
- Stefan Wilk, Technische Universitat Darmstadt, "Crowdsourced Approach Towards Impacts of Perspectives on the Viewing Quality"
- Ihab Al Kabary, University of Basel, "Experiences with crowdsourcing of game analysis in team sports to support sketch-based retrieval"
- Mei-Chen Yeh, Dept. of Computer Science and Information Engineering, National Taiwan Normal University, "Understanding user preference for automated cinemagraph"
- Christian Keimel, Technische Universitat M¸nchen, "Crowdsourcing approach to evaluation of aesthetics and recognizability"
- Axel Carlier, University of Toulouse, "Crowdsourced Object Segmentation with a Game"
- Prayag Surendran, Mtech, Indian Institue of Technology, "Spam Detection in Google Adwords"
- Pavel Korshunov, EPFL, "Worldwide crowdsourcing evaluation of privacy protection tools"
- Velibor Adzic, Florida Atlantic University, "Subjective quality estimation by the crowd"
- Vassilios Vonikakis, ADSC (Advanced Digital Sciences Center), "How do users make a slideshow? Using crowdsourcing for automatic people-centric slideshow creation"
Due to the overwhelming response to the competition, the number of winning entries were increased from 10 to 15. We thank Microworkers for sponsoring US$250 of crowdsourcing credit to each of the winning entries.
The winner of the Best Idea will be announced at the workshop.
Call for Competition EntriesSubmit a short description of the multimedia crowdsourcing experiment that you would run, if you had US$ 250 of crowdsourcing credit on the Microworkers crowdsourcing platform. Please submit your idea (200-500 words) by June 28, 2013 by filling up the competition form.
Ten ideas meeting the criteria below will be chosen and each awarded US$ 250 of free crowdsourcing credit by Microworkers.
The ideas will be judged by three criteria and the decision will be sent shortly after your submission:
- The clarity and simplicity with which the idea is explained. (A clear and simple-to-understand task will run the most successfully on the crowdsourcing platform.)
- The relationship to the areas of ACM CrowdMM 2013
- Innovation and contribution to the state of the art in crowdsourcing for multimedia.
Additional US$ 500 for further crowdsourcing tests will be given to the best crowdsourcing idea submitted to ACM CrowdMM 2013.
We look forward to receiving your idea and wish you happy crowdsourcing!
We thank Microworkers for donating the credit that makes it possible to hold this competition.
If you have any questions, please contact: Tobias Hossfeld.