The MediaEval 2016 emotional impact of movies task

Research output: Contribution to journalConference articleScientificpeer-review

Researchers

  • Emmanuel Dellandréa
  • Liming Chen
  • Yoann Baveye
  • Mats Sjöberg

  • Christel Chamaret

Research units

  • Ecole Centrale de Lyon
  • Universite de Nantes
  • University of Helsinki
  • Technicolor

Abstract

This paper provides a description of the MediaEval 2016 "Emotional Impact of Movies" task. It continues builds on previous years' editions of the Affect in Multimedia Task: Violent Scenes Detection. However, in this year's task, participants are expected to create systems that automatically predict the emotional impact that video content will have on viewers, in terms of valence and arousal scores. Here we provide insights on the use case, task challenges, dataset and ground truth, task run requirements and evaluation metrics.

Details

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1739
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication

ID: 17208845