Multimodal research on nonlinear editing of images based on visual perception

Abstract

Objective To explore the interaction principle between visual perception and multimodal image nonlinear editing, and analyze the mode of image nonlinear editing and image coding output from the perspective of multimodal analysis, so as to make the nonlinear editing and image coding output more scientific, rational and harmonious. Methods By the method of multimodal analysis, the principle of visual perception and the principle of image nonlinear editing were used to analyze and discuss the multimodal analysis of image editing, and video editing, audio editing and special effects editing were decomposed and analyzed by visual mode, auditory mode and emotional mode respectively. Conclusion From the view of visual perception and multimodal analysis, a structured method of image processing is proposed to improve the science, rationality and harmony of nonlinear editing of images.