Optimization of Character Animation Design and Motion Synthesis in Film and TV Media Based on Data Mining

Abstract

By consulting relevant literature, this article deeply understands the research status and development trend of CAD character animation design and motion synthesis in film and TV media. The advantages and disadvantages of existing methods are analyzed by using theoretical knowledge such as animation principle and motion synthesis algorithm, which provides theoretical support for the optimization method of this study. According to theoretical analysis results, data mining (DM) technology is used to mine and analyze the data related to CAD character animation design and motion synthesis. Design and implement a series of experiments, verify the proposed optimization method of CAD character animation design and motion synthesis based on DM technology, and evaluate its performance and effect. The results show that this method is more efficient than the traditional animation production process. Moreover, the quality line after optimization is higher than before optimization, which shows that even if the efficiency is improved, animation quality is not sacrificed. Most of the audience spoke highly of the quality of the animation, color matching, scene design, and story. The outcomes above confirm the practicality and efficacy of the proposed approach in real-world scenarios, offering fresh insights and technical assistance for the advancement of the film and television media sector.