The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Affective image classification using features inspired by psychology and art theory
Abstract
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situations when it would be helpful if images could be retrieved based on their emotional content. We investigate and develop methods to extract and combine low-level features that represent the emotional content of an image, and use these for image emotion classification. Specifically, we exploit theoretical and empirical concepts from psychology and art theory to extract image features that are specific to the domain of artworks with emotional expression. For testing and training, we use three data sets: the International Affective Picture System (IAPS); a set of artistic photography from a photo sharing site (to investigate whether the conscious use of colors and textures displayed by the artists improves the classification); and a set of peer rated abstract paintings to investigate the influence of the features and ratings on pictures without contextual content. Improved classification results are obtained on the International Affective Picture System (IAPS), compared to state of the art work.
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Mekler, E. D., Brühlmann, F., Tuch, A. N., & Opwis, K. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.048 · Cited by 990
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Borth, D., Ji, R., Chen, T., Breuel, T., & Chang, S.-F. (2013) · Proceedings of the 21st ACM international conference on Multimedia · doi:10.1145/2502081.2502282 · Cited by 851
Measuring human perceptions of a large-scale urban region using machine learning
Zhang, F., Zhou, B., Liu, L., Liu, Y., Fung, H. H., Lin, H., & Ratti, C. (2018) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2018.08.020 · Cited by 810
Bota, P. J., Wang, C., Fred, A. L. N., & Placido Da Silva, H. (2019) · IEEE Access · doi:10.1109/access.2019.2944001 · Cited by 322
Mekler, E. D., Brühlmann, F., Opwis, K., & Tuch, A. N. (2013) · Proceedings of the First International Conference on Gameful Design, Research, and Applications · doi:10.1145/2583008.2583017 · Cited by 314
Metadata
- Authors
- Machajdik, J., & Hanbury, A.
- Venue
- Proceedings of the 18th ACM international conference on Multimedia
- Publisher
- ACM
- Published
- 2010-10-25
- Pages
- 83-92
- OpenAlex
- W2003856922
- Cited by
- 852
- References
- 26
- FWCI
- 17.04
- Type
- conference paper
- Language
- en
- Open access
- closed
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