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Modeling How People Extract Color Themes from Images

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The document presents a method for extracting color themes from images using a regression model trained on themes created by individuals. It highlights the importance of color choice in graphic art and design, noting that selecting effective color combinations can be challenging. The study collected 1600 color themes from participants via Mechanical Turk and artists, revealing similarities in their selections. The proposed model outperforms previous techniques by closely matching human-extracted themes and receiving higher ratings for representing the source images. The work emphasizes the potential applications of automated color theme extraction in various design contexts.

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