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Architecture of visual design creation system based on 5G virtual reality.
- Source :
- International Journal of Communication Systems; 3/25/2022, Vol. 35 Issue 5, p1-20, 20p
- Publication Year :
- 2022
-
Abstract
- Summary: Artificial intelligence, which simulates the behavior of the human brain with a computer, including learning, reasoning, decision‐making and prediction, association, and other aspects, with the help of artificial intelligence technology to help visual communication designers complete high‐quality, efficient, and high‐volume design output, has become a trend. However, there are many defects in the existing visual design and creation system under the intelligent human–computer cooperation. Therefore, based on 5G virtual reality, this paper proposes the framework of visual design and creation system under intelligent human–computer cooperation research that has been carried out. This paper uses the method of literature analysis and other methods to study. In the research process, based on 5G virtual reality, this paper builds the framework of visual design and creation system under the intelligent human–computer cooperation of virtual reality and tests the visual design creation system based on 5G virtual reality from the aspects of response time, visual design completion time, and visual presentation effect; the system is compared with other intelligent human–computer cooperation visual design creation systems. The results show that the clarity score of this system is 96.5, the visual presentation quality score is 95.8, the clarity score of other systems is 87.6, and the visual presentation quality score is 86.3. Therefore, this system has very high superiority compared with other intelligent human–computer cooperation visual design and creation systems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10745351
- Volume :
- 35
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- International Journal of Communication Systems
- Publication Type :
- Academic Journal
- Accession number :
- 155324262
- Full Text :
- https://doi.org/10.1002/dac.4750