Converting animated image colors into product colors: An eye- tracking technology and MLP-based color matching design method

Abstract

Abstract Images are a significant source of inspiration for designers to carry out the color design. However, the absence of animated images in the product color design can create confusion for designers. To convert animated image colors to product colors, this work a hybrid method of using the eye-tracking technology to assist color extraction and an intelligent algorithm to screen out the best color scheme. Firstly, the eye-tracking technology is adopted to collect the hot spot distribution of subjects while watching the animated images. According to the eye movement hot spot distribution, the most interesting animated color is extracted. And then, with the help of multilayer perceptron neural network, the color design of three-color children’s shopping cart product is carried out on the extracted animated color. 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. 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 quickly and accurately find the color scheme that matches the animated image and the product.