Emotional Impact of Video Quality: Self-Assessment and Facial Expression Recognition

Abstract

This work examines how degradations in video quality shape viewers’ emotional responses using both subjective ratings and automatic facial expression analysis. Across controlled impairment levels, lower quality increased negative affect and reduced engagement, with facial action units aligning with self-reported valence and arousal trends. Results highlight the value of combined self-report and vision-based signals for continuous QoE monitoring.

BibTeX

@inproceedings{voigtantons2019c54,
  author    = {Porcu, S. and Uhrig, S. and Voigt-Antons, J.-N. and Möller, S. and Atzori, L.},
  title     = {Emotional Impact of Video Quality: Self-Assessment and Facial Expression Recognition},
  year      = {2019},
  booktitle = {Paper presented at the 10th International Conference on Quality of Multimedia Experience (QoMEX 2019), Berlin, Germany},
  doi       = {10.1109/QoMEX.2019.8743186},
}