Colourfulness is often thought of as a mere measure of quantity of colour, but user studies suggest that there are more factors influencing the perception of colourfulness. Boosting and enhancing colours are operations often performed for improving image aesthetics, but the relationship between colourfulness and aesthetics has not been thoroughly explored. By gathering perceptual data from a largescale user study we have shown how existing colourfulness metrics relate to it and that there is no direct linear dependence between colourfulness and aesthetics but correlations arise for different image categories such as: "landscape", "abstract" or "macro".
Cristina Amati, Niloy J. Mitra, Tim Weyrich.
In Proc. of Expressive (CAe+SBIM+NPAR), 9 pages, Vancouver, Canada, 8–10 August 2014.Cristina Amati, Niloy Mitra, and Tim Weyrich. A study of image colourfulness. In Proc. of Expressive (CAe+SBIM+NPAR), pages 1–9, August 2014.Amati, C., Mitra, N., and Weyrich, T. 2014. A study of image colourfulness. In Proc. of Expressive (CAe+SBIM+NPAR), 1–9.C. Amati, N. Mitra, and T. Weyrich, “A study of image colourfulness,” inProc. of Expressive (CAe+SBIM+NPAR), Aug. 2014, pp. 1–9.
Here we provide an archive containing the list of images used for the main user study and the collected user responses, as well as images and responses of our follow-up validation study.
|colourfulness-db_2014-08-08.zip||Input and results for user studies; descriptive README.txt inside.|
We would like to thank the anonymous reviewers for their feedback and suggestions. We are also grateful to David Hasler and Sabine Süsstrunk for making their colourfulness study data available, to Craig Kaplan for helpful comments and James McRae for insight with MTurk. This work has been supported by the EngD VEIV Centre for Doctoral Training, Anthropics Technology Ltd., the Marie Curie Career Integration Grant 303541 and the ERC Starting Grant SmartGeometry (StG-2013-335373).