CrowdMM 2015 Accepted Papers

We are proud to announce that 7 papers have been accepted for (oral or poster) Presentation at CrowdMM. Here are titles and Authors:

  • Eye tracker in the wild: Studying the delta between what is said and measured in a crowdsourcing experiment
    Pierre Lebreton (Technische Universität Berlin ); Isabelle Hupont (UPMC – Sorbonne Universities); Toni Mäki (VTT Technical Research Centre of Finland); Evangelos Skodras (University of Patras); Matthias Hirth (University of Wuerzburg)
  • Bridging the Utilitarian-Hedonic Divide  in Crowdsourcing Applications
    Mark Melenhorst (Delft University of Technology); Jasminko Novak (European Institute for Participatory Media); Isabel Micheel (European Institute for Participatory Media); Martha Larson (Delft University of Technology); Martin Boeckle (European Institute for Participatory Media)
  • Do Scale-Design and Training Matter for Video QoE Assessments through Crowdsourcing?
    Bruno Gardlo (The Telecommunications Research Center Vienna); Sebastian Egger (AIT); Tobias Hossfeld (University Essen-Duisburg
  • Generation of a video summary on a news topic based on SNS responses to news stories
    Kosuke Kato (Nagoya University); Ichiro Ide (Nagoya University); Daisuke Deguchi (Nagoya University); Hiroshi Murase (Nagoya University)
  • Why Design Matters – Crowdsourcing of Complex Tasks
    Baar Winther (Simula); Lilian Calvet (Simula); Carsten Griwodz (Simula); Pål Halvorsen (Simula); Michael Riegler (Simula Research Laboratory)
  • When the crowd challenges the lab: lessons learnt from subjective studies on image aesthetic appeal
    Judith Redi (Delft University of Technology); Ernestasia Siahaan (Delft University of Technology); Pavel Korshunov (EPFL); Julian Habigt (Technical University Munich); Tobias Hossfeld (University Essen-Duisburg)
  • Impact of tone-mapping algorithms on subjective and objective face recognition in HDR images
    Pavel Korshunov (EPFL); Marco Bernardo (UBI); Touradj Ebrahimi (EPFL); Antonio Pinheiro (UBI)

More detail on the program will be published soon!

CrowdMM Deadline Extended!

The Deadline for submissions to CrowdMM 2015 has been extended!

New deadline is Thursday July 16th, 23:59 PST.

Please submit your paper through the CMT submission system:

CrowdMM2015: First CFP

The first CFP  for CrowdMM 2015 is now available!
You can check it out here.

The actual Workshop date will be announced shortly, depending on the program of the main conference ACM Multimedia 2015.

CrowdMM 2015 Workshop @ ACM Multimedia 2015

successCrowdMM 2015 has been accepted and will take place the fourth time in conjunction with ACM Multimedia in Brisbane, Australia at the end of October 2015. This year’s chairs are Judith Redi from TU Delft, Guo-Jun Qi from the University of Central Florida and Stevan Rudinac, from the University of Amsterdam.

Call for papers, committee and all other information will be updated soon, just check back to this site or subscribe the feed to stay up-to-date.

This year, for the first time, CrowdMM is featuring a Crowd Keynote! What’s that, you may ask? My colleague and co-chair Judith Redi put it like that:

The idea of the Crowdkeynote is that the whole CrowdMM community contributes to AND presents it. We are all experts in crowdsourcing, and it is time we all share what we think are the main accomplishments and challenges still to face. So, the whole CrowdMM… crowd will give the second Keynote presentation of CrowdMM2014. Everybody is welcome to contribute a few lines to a few slides to it, and will be invited to present such contribution on Nov 7, during CrowdMM2014.

And here we are, we are waiting for the crowd to contribute! All authors should have got their links to the joint presentation already by mail, for all the other, who are willing to share, discuss and present, drop us a mail and you get the link!


Accepted contributions at CrowdMM 2014

We are happy to announce the list of accepted contributions to CrowdMM 2014.

Accepted full papers:

  • Users Tagging Visual Moments: A Data Set of Social Video with Timed Tags by Peng Xu; Martha Larson
  • A Protocol for Cross-Validating Large Crowdsourced Data: The Case of the LIRIS-ACCEDE Affective Video Dataset by Yoann Baveye; Christel Chamaret; Emmanuel Dellandrea; Liming Chen
  • Getting by with a Little Help from the Crowd: Practical Approaches to Social Image Labeling by Babak Loni; Jonathon Hare; Mihai Georgescu; Michael Riegler; Xiaofei Zhu; Mohamed Morchid; Richard Dufour; Martha Larson
  • Crowdsourcing for rating image aesthetic appeal: better a paid or a volunteer crowd? by Judith Redi; Isabel Povoa
  • Crowd-based Semantic Event Detection and Video Annotation for Sports Videos by Fabio Sulser; Ivan Giangreco; Heiko Schuldt
  • Development and Validation of Extrinsic Motivation Scale for Crowdsourcing Micro-task Platforms by Babak Naderi; Ina Wechsung; Tim Polzehl; Sebastian Möller
  • Modeling Image Appeal Based on Crowd Preferences for Automated Person-Centric Collage Creation by Vassilios Vonikakis; Ramanathan Subramanian; Jonas Arnfred; Stefan Winkler
  • A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations by Mojtaba Khomami Abadi; Azad Abad; Ramanathan Subramanian; Negar Rostamzadeh; Elisa Ricci; Jagannadan Varadarajan; Nicu Sebe

Accepted posters / short papers:

  • Crowd to the Rescue for Hard-to-Find Data: Collecting Contexts in which Edited Images are used Online by Valentina Conotter; Duc-Tien Dang-Nguyen; Michael Riegler; Giulia Boato; Martha Larson
  • Is that a Jaguar? Segmenting Ancient Maya Glyphs via Crowdsourcing by Gülcan Can; Jean-Marc Odobez; Daniel Gatica-Perez
  • Making use of Semantic Concept Detection for Modelling Human Preferences in Visual Summarization by Stevan Rudinac; Marcel Worring
  • Crowdsourcing for the Discovery of Non-Obvious Attributes of Social Images by Mark Melenhorst; María Menéndez Blanco; Martha Larson
  • Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates by Axel Carlier; Amaia Salvador; Xavier Giro-I-Nieto; Oge Marques; Vincent Charvillat