Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory

@article{Sartori2015AffectiveAO,
  title={Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory},
  author={Andreza Sartori and Victoria Yanulevskaya and Alkim Almila Akdag Salah and Jasper R. R. Uijlings and Elia Bruni and Nicu Sebe},
  journal={TiiS},
  year={2015},
  volume={5},
  pages={8:1-8:27}
}
When artists express their feelings through the artworks they create, it is believed that the resulting works transform into objects with “emotions” capable of conveying the artists' mood to the audience. There is little to no dispute about this belief: Regardless of the artwork, genre, time, and origin of creation, people from different backgrounds are able to read the emotional messages. This holds true even for the most abstract paintings. Could this idea be applied to machines as well? Can… CONTINUE READING

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