Manual annotation and automatic image processing of multimodal emotional behaviors: validating the annotation of TV interviews

  • Authors:
  • J. -C. Martin;G. Caridakis;L. Devillers;K. Karpouzis;S. Abrilian

  • Affiliations:
  • LIMSI-CNRS, Orsay Cedex, France 91403;Image, Video and Multimedia Systems Lab, National Technical, University of Athens, Athens, Greece 157 80;LIMSI-CNRS, Orsay Cedex, France 91403;Image, Video and Multimedia Systems Lab, National Technical, University of Athens, Athens, Greece 157 80;LIMSI-CNRS, Orsay Cedex, France 91403

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

There have been a lot of psychological researches on emotion and nonverbal communication. Yet, these studies were based mostly on acted basic emotions. This paper explores how manual annotation and image processing can cooperate towards the representation of spontaneous emotional behavior in low-resolution videos from TV. We describe a corpus of TV interviews and the manual annotations that have been defined. We explain the image-processing algorithms that have been designed for the automatic estimation of movement quantity. Finally, we explore how image processing can be used for the validation of manual annotations.