SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

@article{Kossaifi2019SEWADA,
  title={SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild},
  author={Jean Kossaifi and R. Walecki and Yannis Panagakis and Jie Shen and M. Schmitt and Fabien Ringeval and Jing Han and Vedhas Pandit and B. Schuller and Kam Star and E. Hajiyev and M. Pantic},
  journal={IEEE transactions on pattern analysis and machine intelligence},
  year={2019}
}
  • Jean Kossaifi, R. Walecki, +9 authors M. Pantic
  • Published 2019
  • Computer Science, Medicine
  • IEEE transactions on pattern analysis and machine intelligence
  • Natural human-computer interaction and audio-visual human behaviour sensing systems, which would achieve robust performance in-the-wild are more needed than ever as digital devices are becoming indispensable part of our life more and more. Accurately annotated real-world data are the crux in devising such systems. However, existing databases usually consider controlled settings, low demographic variability, and a single task. In this paper, we introduce the SEWA database of more than 2000… CONTINUE READING
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