Research on Design Automatic Illustration Recommendation Method Based on Artificial Intelligence
Xiao Qiang Zhong · 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · 2021
With the continuous innovation and development of artificial intelligence, great changes have taken place in various industries relying on high-tech. As an art based on technological invention, illustration is also facing new challenges and opportunities. In the new era of technological innovation and technology application, the future illustration technology will continue to promote intelligent, which indicates that the industry will usher in a new period of transformation and upgrading. At the same time, the quality of illustrations in China and even the world will develop in the direction of high quality and high efficiency. This paper takes the development of artificial intelligence technology in the new era as the research starting point, maps the image features with the subjective style discrimination ability features, and then according to the demand, the illustration recommendation method based on the optimization processing model is used to carry out the illustration recommendation, and the pre recommendation results are obtained. Finally, the final illustration recommendation is obtained by optimizing the pre recommendation results through the user feedback algorithm oriented to the illustration recommendation result. We compare the performance of the proposed method with the two linear models based on SVM, and find that the proposed model can better recommend illustrations for users.