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