Research on the Application of Special Effects Editing in the Late Stage of Film and Television Animation Based on Collaborative Filtering Algorithm

Abstract

The post-production of film and television animation special effects is an important way to enhance the presentation effect of animation pictures, and it is a crucial process in the film production at this stage. The adoption of multimedia information technology has gradually changed the traditional post-effect editing methods and concepts, and greatly improved the expressive force and influence of today's film and television animation special effects editing. In this paper, SVR algorithm is used to optimize the scoring moment; Finally, the SVR-based collaborative filtering algorithm and user images are combined to form a hybrid recommendation algorithm to improve the personalized recommendation effect. The results show that the SVR-based collaborative filtering and user images hybrid recommendation algorithm and the user images and collaborative filtering fusion recommendation algorithm have better recommendation effect than the traditional collaborative filtering algorithm, and the former has the best effect. Therefore, the feasibility, effectiveness and superiority of the optimization algorithm proposed in this paper are verified on the basis of empirical research.