The possibility of generating color scheme based on art works for Web Design
Authors: Yanyan Song, Yunfei Chen
Abstract: With the rapid development of big data and computing power, the use of artificial intelligence in the design field is becoming more and more widespread, and web design is one of the areas that benefit significantly. And one of the extremely important elements of web design is color, where the selection and matching of colors has a significant impact on the message of a web page. However, automatic color design for web pages is challenging, as it must not only meet aesthetic goals, but also try to ensure emotional communication. In this paper, we propose a method for extracting web page color schemes from artworks. Based on the artworks where the emotional tone has been determined, the main color palette is extracted from them and applied to the web design to achieve the unity of aesthetics and emotion. The extracted color combinations were applied in a typical web color design scenario, followed by the SD semantic difference method in order to explore users' emotional responses to various color-coordinated web pages and verify the effectiveness of the method. The results show that it is feasible to extract color schemes from artworks, but the emotional tone has no direct relevance.
Keywords: Color Scheme, Web design, artificial intelligence
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