The VR digital media visual design system based on the ecological environment characteristics of Yanyu in the south of the Yangtze River

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Abstract

The virtual reality technology can simulate more pictures and bring people a certain visual enjoyment. In this regard, in the visual design of digital media technology, the application of virtual reality technology can change the traditional way of visual design, guide the extraction of ecological environment characteristics, and improve its own film and television production, enrich the content of the picture, and use diversification. Only by improving the experience visually and audibly can the design of digital media be further improved. In this paper, the use value and use method of computer virtualization technology are mainly analyzed, as well as the effect of its development and practical application, and the interpretation of the current development status. The rapid development of social and economic level has provided new demands and strong development impetus for the progress of science and technology. In this social background, information technology emerged as the times require. The application of information technology has changed the way of life and operation of an era. Bringing many changes to people's lives, at the same time, the development of information technology has also spawned other new science and technology, virtual reality technology (VR) and augmented reality technology (AR) are some of them. VR technology and AR technology are emerging technologies that can connect reality and virtual information world. Their application brings people a richer information experience, greatly improves people's sensory experience, and has very high practical application significance. This paper combines machine learning method and VR digital media technology to study the visual design system under the characteristics of Jiangnan Yanyu Shengtian environment, and illustrates the superiority of this method through examples.

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last seen: 2026-05-19T01:45:01.086888+00:00