Chromatic modulation in visual art: a computational perspective
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes a computational approach for analyzing and visualizing the aesthetics of color from the perspective of color theory. Our study is grounded in the works of Johannes Itten, one of the most remarkable theorists of color aesthetics. Our focus lies on the computational analysis of a specific aspect of color usage in paintings, namely modulation. We, therefore, propose the three-dimensional (3-D) color palette, a visualization of the chromatic information of an image in the hue-saturation-lightness space. Using the proposed palette, we derive a set of simple hue-specific descriptors for color modulation. Our experimental results involve a selection of digital reproductions of paintings discussed extensively by Itten. They show that the proposed modulation measures yield results that are consistent with Itten’s comments and explanations. Future work involves further exploration of the proposed 3-D color palette, in terms of its ability to discriminate between different artists and painting styles.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it