Smell and Emotion: Recognising emotions in smell-related artworks

Fuente: arXiv
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Auteurs principaux: Patoliya, Vishal, Zinnen, Mathias, Maier, Andreas, Christlein, Vincent
Format: Preprint
Publié: 2024
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author Patoliya, Vishal
Zinnen, Mathias
Maier, Andreas
Christlein, Vincent
author_facet Patoliya, Vishal
Zinnen, Mathias
Maier, Andreas
Christlein, Vincent
contents Emotions and smell are underrepresented in digital art history. In this exploratory work, we show that recognising emotions from smell-related artworks is technically feasible but has room for improvement. Using style transfer and hyperparameter optimization we achieve a minor performance boost and open up the field for future extensions.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04592
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Smell and Emotion: Recognising emotions in smell-related artworks
Patoliya, Vishal
Zinnen, Mathias
Maier, Andreas
Christlein, Vincent
Computer Vision and Pattern Recognition
Emotions and smell are underrepresented in digital art history. In this exploratory work, we show that recognising emotions from smell-related artworks is technically feasible but has room for improvement. Using style transfer and hyperparameter optimization we achieve a minor performance boost and open up the field for future extensions.
title Smell and Emotion: Recognising emotions in smell-related artworks
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2407.04592