Aesthetic Rating and Color Suggestion for Color Palettes
Aesthetic Rating and Color Suggestion for Color Palettes
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DOI：
10.1111/cgf.13010
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发表时间：
2016-10
影响因子：
2.5
通讯作者：
Naoki Kita;K. Miyata
中科院分区：
文献类型：
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作者：
Naoki Kita;K. Miyata
提出了一种考虑人类审美偏好的颜色组合评价模型。所提出的方法不假设调色板具有特定数量的颜色，即，输入不限于两种、三种或五种颜色的调色板。我们从调色板中提取特征，其大小不依赖于调色板中颜色的数量。建议的评级预测模型使用人类颜色偏好数据集进行训练。该模型允许用户扩展调色板，例如，从三种颜色到五种或七种颜色，同时保持颜色的和谐。此外，我们提出了一个颜色搜索方案，为一个给定的调色板和一个定制版本的建议模型为一个特定的色调。我们证明了所提出的模型也可以应用于各种基于调色板的应用程序。
A model to rate color combinations that considers human aesthetic preferences is proposed. The proposed method does not assume that a color palette has a specific number of colors, i.e., input is not restricted to a two‐, three‐, or five‐color palettes. We extract features from a color palette whose size does not depend on the number of colors in the palette. The proposed rating prediction model is trained using a human color preference dataset. The model allows a user to extend a color palette, e.g., from three colors to five or seven colors, while retaining color harmony. In addition, we present a color search scheme for a given palette and a customized version of the proposed model for a specific color tone. We demonstrate that the proposed model can also be applied to various palette‐based applications.