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ICIP
2008
IEEE

Emotional valence categorization using holistic image features

9 years 5 months ago
Emotional valence categorization using holistic image features
Can a machine learn to perceive emotions as evoked by an artwork? Here we propose an emotion categorization system, trained by ground truth from psychology studies. The training data contains emotional valences scored by human subjects on the International Affective Picture System (IAPS), a standard emotion evoking image set in psychology. Our approach is based on the assessment of local image statistics which are learned per emotional category using support vector machines. We show results for our system on the IAPS dataset, and for a collection of masterpieces. Although the results are preliminary, they demonstrate the potential of machines to elicit realistic emotions when considering masterpieces.
Victoria Yanulevskaya, Jan van Gemert, Katharina R
Added 20 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2008
Where ICIP
Authors Victoria Yanulevskaya, Jan van Gemert, Katharina Roth, Ann-Katrin Herbold, N. Sebe, Jan-Mark Geusebroek
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