Virtual packaging model construction of visual images for visual communication in the context of modern information convergence

被引:0
|
作者
Gao D. [1 ]
Feng W. [1 ]
Wang H. [1 ]
Wang Y. [2 ]
机构
[1] Hebei Polytechnic Institute, Department of Architecture and Design, Shijiazhuang, Hebei
[2] HuiHua College of Hebei Normal University, Shijiazhuang, Hebei
关键词
Image virtual packaging; Image virtualization; Modern information fusion; MOEA/D algorithm; Visual communication;
D O I
10.2478/amns.2023.1.00258
中图分类号
学科分类号
摘要
With the rapid development of the times, new tools are constantly appearing in visual communication design, such as the use of image packaging in visual communication. In order to speed up the transmission speed of visual images, ensure the integrity of visual images, and solve the transmission effect during visual communication. In this paper, based on the modern information fusion context, the object visualization image virtual packaging for model construction, the introduction of MOEA/D algorithm, the decomposition technique to decompose the MOP problem into a series of subproblems to solve, the use of weight vectors to obtain the neighbors of each subproblem, followed by the calculation of neighbor subproblems, the division of individuals into segments to obtain the child individuals. Finally, the fitness of each offspring individual was calculated and cut to give the final level of each factor. The final calculation of the proportion of images in different media communication from the MOEA/D algorithm leads to the strategy of using image virtual packaging in visual communication design. The experimental results showed that by means of multiple control groups, the experimental group achieved a 30% correct rate for Q3 and Q9 quiz questions, and the experimental group had a significantly greater correct rate than the control group. Therefore, more design concepts and design thinking can be explored through the study and analysis of image virtualization to help the use of image virtual packaging in visual communication design work. © 2023 Dan Gao et al., published by Sciendo.
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