Michael Riegler

michael


Michael Alexander Riegler is a PhD student at Simula Research Laboratory. He received his master degree from the Klagenfurt University with distinction. His master thesis was about large scale content based image retrieval. He wrote it at the Technical University of Delft under the supervision of Martha Larson. He is a part of the EONS project at the Media Performance Group.

His research interests are endoscopic video analysis and understanding, image processing, image retrieval, parallel processing, gamification and serious games, crowdsourcing, social computing and user intentions. Furthermore he is involved in several initiatives like the MediaEval Benchmarking initiative for Multimedia Evaluation.

 

Projects

–          EONS: Efficient Execution of Large Workloads on Elastic Heterogeneous Resources

–          Soignons: SOcIetal Games to Nudge people intO attending cervical caNcer Screening

Education:

623.908 Tutorial for Computer Games

Master Students:

Zeno Albisser – Computer-Aided Screening of Capsule Endoscopy Videos

TPC Members:

MMSys 2014, 2015 (Co-Chair dataset track)

ACM MM 2014

NOSSDAV 2015

CrowdMM 2014

CBMI 2014 (Proceedings Chair), 2015

Multimediaeval Benchmark 2013 (Proceedings Chair), 2014 (Proceedings Chair), 2015 (Task Organizer)

WebSci 2014

Editor:

ACM Sigmm Records

Grants:

ACM MM Student Travel Grant 2014

MMSys Student Travel Grant 2015


Publications:

Michael Riegler, Mathias Lux and Christoph Kofler. Frame the Crowd: Global Visual Features Labeling Boosted with Crowdsourcing Information. In proceedings of the MediaEval 2013 Benchmark, Mediaeval, 2013.

Xinchao Li, Michael Riegler, Martha Larson and Alan Hanjalic. Exploration of Feature Combination in Geo-visual Ranking for Visual Content-based Location Prediction. In proceedings of the MediaEval 2013 Benchmark, Mediaeval, 2013.

Mathias Lux and Michael Riegler. Annotation of Endoscopic Videos on Mobile Devices: A Bottom-up Approach. Proceedings of the 4th ACM Multimedia Systems Conference. ACM, 2013.


Babak Loni, Lei Yen Cheung, Michael Riegler, Alessandro Bozzon, Martha Larson, and Luke Gottlieb. Fashion 10000: An enriched social image dataset for fashion and clothing. In Proceedings of the 5th ACM Multimedia Systems Conference, MMSys ’14, 2014.


Michael Riegler, Mathias Lux, Vincent Charvillat, Axel Carlier, Raynor Vliegendhart and Martha Larson. VideoJot: A Multifunctional Video Annotation Tool. In Proceedings of the 4th ACM conference on International conference on multimedia retrieval. ICMR, 2014.


Mathias Lux, Mario Guggenberger, Michael Riegler. PictureSort: Gamification of Image Ranking. In Proceedings of the GamifIR’14 Workshop of the 36th Conference on Information Retrieval. ECIR, 2014.


Michael Riegler, Mathias Lux, Martha Larson and Christoph Kofler. How ‘How’ Reflects What’s What: Content-based Exploitation of How Users Frame Social Images. In Proceedings of the International ACM Multimedia Conference 2014, ACMMM’14, 2014.


Michael Riegler, Mathias Lux, Christian Zellot, Lukas Knoch, Horst Schnattler and Sabrina Napetschnig. Gone: An Interactive Experience for Two People. In Proceedings of the International ACM Multimedia Conference 2014, ACMMM’14, 2014.


Mario Guggenberger, Michael Riegler, Mathias Lux and Pål Halvorsen. Event Understanding in Endoscopic Surgery Videos. In Proceedings of the ACM Workshop on Human Centered Event Understanding from Multimedia, ACM HuEvent’14, 2014.


Valentina Conotter, Duc-Tien Dang-Nguyen, Michael Riegler, Guilia Boato and Martha Larson. A Crowdsourced Data Set of Edited Images Online. In Proceedings of the International ACM Workshop on Crowdsourcing for Multimedia, ACM CrowdMM’14, 2014.


Babak Loni, Jonathon Hare, Mihai Georgescu, Michael Riegler, Xiaofei Zhu, Mohamed Morchid, Richard Dufour and Martha Larson. Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling. In Proceedings of the International ACM Workshop on Crowdsourcing for Multimedia, ACM CrowdMM’14, 2014.


Michael Riegler, Mathias Lux, Ragnhild Eg and Markus Schicho. Mobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception. In Proceedings of the International Workshop on Social Media for Crowdsourcing and Human Computation, SoHuman’14, 2014.


Maia Zaharieva, Michael Riegler and Manfred Del Fabro. Multimodal Synchronization of Image Galleries. In proceedings of the MediaEval 2014 Benchmark, Mediaeval, 2014.


Michael Riegler, Preben N. Olsen and Pål Halvorsen. Work Like a Bee – Taking Advantage of Diligent Crowdsourcing Workers. In proceedings of the MediaEval 2014 Benchmark, Mediaeval, 2014.


Twitter: https://twitter.com/kelkalot