The MPG group and some of our collaborators proposed a special session for the Multimedia Modeling Conference 2017 in Iceland. We can announce now, that our proposal got accepted. The special session will be an evolved version of CrowdMM — Crowdsourcing for Multimedia.
The session will focus on advancing the state of the art of best practices for the use of crowdsourcing in multimedia research. A wealth of topics will be addressed within the field of multimedia, cross-cutting all of the main conference areas. Contributions dealing with e.g. crowdsourcing-based identification and evaluation of multimedia QoE (Area: Multimedia HCI and QoE), visual and audio indexing via human computation or hybrid techniques (Area: Multimedia Search and Recommendation) or also the use of crowdsourcing for analysing affect portrayed in or elicited by multimedia content. Specific the emerging areas Emotional and Social Signals in Multimedia such as User Intent and Affection will be welcomed, as long as they present a strong methodological focus on crowdsourcing. We will put emphasis on tackling the methodological challenges listed in the “topics” section below. Crowdsourcing cannot be considered as a mature technology for multimedia research if the results it produces are not repeatable. To take crowdsourcing to the next level, it is necessary to determine best practices for test and incentive schemes design, as well as robust data analysis and quality control techniques. On the longer term (beyond 2017), our goal is to generate guidelines and recommendations for the use of crowdsourcing in multimedia, possibly also involving standardization bodies. To do so, it is necessary to focus on crowdsourcing not only as a means for multimedia research, but also as an end.
The main proposers are:
Guillaume Gravier, IRISA, France, http://people.irisa.fr/Guillaume.Gravier
Guillaume Gravier is a senior research scientist at Centre National pour la Recherche Scientifique (CNRS). Since 2002, he has been working at the IRISA lab, where he currently leads the multimedia group. With a background on statistical speech modeling, his research activities focus on multimedia analytics: multimodal content modeling, multimedia pattern mining, natural language processing and video hyperlinking, etc. Guillaume Gravier is president of the French-speaking Speech Communication Association and co-founded the ISCA SIG on Speech and Language in Multimedia (SLIM), which he has been chairing since 2013. He is a member of the board of the national ICT cluster Images et Réseaux and the technical representative of Inria in the PPP BDVA. Guillaume Gravier has also been involved in the organization of major conferences and of national and international evaluation benchmarks.
Mathias Lux, Klagenfurt University, Austria, http://www.itec.uni-klu.ac.at/~mlux/
Mathias Lux is Associate Professor at the Institute for Information Technology (ITEC) at Klagenfurt University. He is working on user intentions in multimedia retrieval and production and emergent semantics in social multimedia computing. In his scientific career he has (co-) authored more than 80 scientific publications, has served in multiple program committees and as reviewer of international conferences, journals and magazines, and has organized multiple scientific events. Mathias Lux is also well known for the development of the award winning and popular open source tools Caliph & Emir and LIRE for multimedia information retrieval.
Michael Riegler, Simula, Norway, https://www.simula.no/people/michael
Michael 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 and he has (co-) authored more than 30 scientific publications.
Martha Larson, Delft University of Technology, Netherlands, and Radboud University Nijmegen, Netherlands
Judith Redi, Delft University of Technology, Netherlands