Since source images from different dimensions can provide more inspiration for the target color scheme 13, the lack of consideration of existing color cases with more dimensions will inevitably limit the success rate and efficiency of product color matching to a certain extent 3. Firstly, consumers will expect more colors with different imagery 11. Nevertheless, there remain two overlooked problems to be solved. These studies provide a wide range of color sources for product color design and plays important roles in satisfying consumers' color preferences and promoting consumers' purchasing desires. Numerous scholars have carried out several studies on the extraction and reuse of image colors, and even the situations where the brand color of an international company or organization is restricted have also been considered 23, 24. In summary, the extraction of image colors has become a hot topic in color research. As is known to all, it is an important task to mine consumers' perception of colors, establish mapping relationship between consumers' emotions and colors, and further convert emotional images to product color design elements 14, 21, 22. The other is to realize the mapping to the target product color scheme according to the image color semantics of plane images 14. Researchers usually draw on the colors of various plane images and extract colors through random extraction, cluster analysis and other approaches, and then provide references for designers in the process of product color design 15, 16, 17, 18, 19, 20. One is to map the target product color scheme by referring to the color styles of plane images 3. Therefore, carrying out research on converting animated image colors to product colors can quickly and accurately find the color schemes that match animated images and products, which is of great significance for further expanding the source of image colors in product color design 4.Ĭurrently, the research on image color reuse can be roughly divided into the following two aspects 3, 14. In addition, the animated image colors are more likely to remind consumers of favorite images in their hearts, thus improving the satisfaction with color matching 13. Animation is a formal of visual communication 12. However, consumers will expect more different color combinations based on product categories or color trends, which can be a difficult job for designers 11. Among them, the image color reuse is to extract the flat image color style in the process of product design, where the flat images is an important source of inspiration for designers to carry out product color scheme design 4. To this end, many scholars have carried out research in different aspects, including image color reuse 4, product color planning 5, product color evaluation 6, product color emotion 7, product color imagery 8, product color aesthetics 9, and color trend prediction 10. A reasonable product color scheme can capture consumers' visual attention, enhance their psychological identity and sense of pleasure to the product, which further influence consumers' brand judgment and purchase decisions on products 2, 3. This work proposes a color scheme design method from animations to products, which further expands the image color sources in product color design and can accurately find the color scheme that matches the animated image and the product.Ĭolor, as a major factor affecting vision, plays a key role in determining consumers' satisfaction with product appearance 1. Experimental results show that the color extraction based on the eye-tracking technology and the color scheme screening based on the intelligent algorithm can realize the effective conversion from animated image colors to product colors. Then, the MLP is applied to train a colour decision model for children's shopping cart products, and the colour decision model is used to filter the optimal solution for the product colour, and finally the colour design is completed from the animated colour to the three-colour children's shopping cart product. Based on the distribution of eye-tracking hotspots, the most interesting animated colours were extracted. Firstly, eye tracking technology is used to collect the distribution of hotspots of the subject while viewing the animated images. To translate the colours of the animated images into product colours, this work used eye-tracking technology to aid colour extraction and the multilayer perceptron neural network (MLP) algorithm to train a product colour decision model to filter the best product colour schemes. However, the absence of animated images in the product color design can create confusion for designers. Images are a significant source of inspiration for designers to carry out the color design.
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