Multimodal research on nonlinear editing of images based on visual perception

Lanchuan Wang; Zian Wang

doi:10.1117/12.3026547

27 March 2024 Multimodal research on nonlinear editing of images based on visual perception

Lanchuan Wang, Zian Wang

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131050Y (2024) https://doi.org/10.1117/12.3026547
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lanchuan Wang and Zian Wang "Multimodal research on nonlinear editing of images based on visual perception", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131050Y (27 March 2024); https://doi.org/10.1117/12.3026547

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KEYWORDS

Visualization

Visual analytics

Image processing

Image compression

Video

Image quality

Nonlinear optics

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