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A Visual Communication Design Study: Graphic Element Design Under Traditional Handwork

  • Received : 2022.03.10
  • Accepted : 2022.08.13
  • Published : 2023.04.30

Abstract

The addition of traditional elements can enhance the uniqueness of visual communication design. This paper briefly introduced visual communication and applications of traditional elements in visual communication design and applied paper cuts, a handmade graphic element, to the logo design of Dezhou University's 50th anniversary. The convolutional neural network (CNN) algorithm and the analytic hierarchy process method were applied to evaluation analysis and compared with the support vector machine (SVM) algorithm. The results of the CNN algorithm on the test set verified its effectiveness. The evaluation results of the CNN algorithm were similar to the manual evaluation results, further proving the effectiveness and high efficiency of the CNN algorithm. The hierarchical analysis and the analysis of the assessment results of the CNN algorithm found that the two logo designs made full use of paper cuts.

Keywords

References

  1. A. Yoxall, V. Gonzalez, J. Best, E. M. Rodriguez-Falcon, and J. Rowson, "As you like it: understanding the relationship between packing design and accessibility," Packaging Technology and Science, vol. 32, no. 10, pp. 496-507, 
  2. S. Ji and P. S. Lin, "Aesthetics of sustainability: research on the design strategies for emotionally durable visual communication design," Sustainability, vol. 14, no. 8, article no. 4649, 2022. https://doi.org/10.3390/su14084649 
  3. J. Miriam, N. Udin, and C. N. Latif, "Visual communication design of campaign to reduce plastic waste to protect mangrove by Pulauku Zero Waste," IOP Conference Series: Earth and Environmental Science, vol. 729, no. 1, article no. 012057, 2021. https://doi.org/10.1088/1755-1315/729/1/012057 
  4. C. Velasco, A. T. Woods, and C. Spence, "Evaluating the orientation of design elements in product packaging using an online orientation task," Food Quality and Preference, vol. 46, pp. 151-159, 2015.  https://doi.org/10.1016/j.foodqual.2015.07.018
  5. G. Yuan, Q. Xie, and W. Pan, "Color design based on Kansei engineering and interactive genetic algorithm," Academic Journal of Manufacturing Engineering, vol. 15, no. 3, pp. 12-18, 2017. 
  6. A. Sirimamilla, H. Ye, and Y. Wu, "Phenomenological modeling of carpeted surface for drop simulation of portable electronics," Journal of Electronic Packaging, vol. 141, no. 2, article no. 021006, 2019. https://doi.org/10.1115/1.4042978 
  7. L. Qian, Y. Xia, X. He, K. Qian, and J. Wang, "Electrical modeling and characterization of silicon-core coaxial through-silicon vias in 3-D integration," IEEE Transactions on Components, Packaging and Manufacturing Technology, vol. 8, no. 8, pp. 1336-1343, 2018.  https://doi.org/10.1109/TCPMT.2018.2854829
  8. D. Kumoratih, G. Anindita, I. Ariesta, and E. Tholkhah, "The role of visual communication design to increase public literacy on the history of Spice Route in supporting Indonesia's proposal toward UNESCO's World Cultural Heritage," IOP Conference Series: Earth and Environmental Science, vol. 729, no. 1, article no. 012107, 2021. https://doi.org/10.1088/1755-1315/729/1/012107 
  9. Y. Ying and S. Yue, "Research on visual communication graphic design information system based on computer simulation," Journal of Physics: Conference Series, vol. 1952, no. 2, article no. 022032, 2021. https://doi.org/10.1088/1742-6596/1952/2/022032 
  10. Q. Xie, Q. Zhao, Z. Xu, and D. Meng, "Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising," Science China (Information Sciences), vol. 63, no. 12, pp. 83-99, 2020.  https://doi.org/10.1007/s11432-020-2880-3
  11. J. K. Min and J. H. Lee, "A study on the specialized color plan of industrial complex reflecting local identity according to intergrated design communication: focused on Gimpo Goldvalley Industrial Complex," Journal of the Korean Society Design Culture, vol. 22, no. 3, pp. 169-182, 2016. 
  12. A. K. Bhandari, A. Kumar, S. Chaudhary, and G. K. Singh, "A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms," Expert Systems with Applications, vol. 63, pp. 112-133, 2016.  https://doi.org/10.1016/j.eswa.2016.06.044
  13. D. Lee and K. N. Plataniotis, "Toward a no-reference image quality assessment using statistics of perceptual color descriptors," IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3875-3889, 2016.  https://doi.org/10.1109/TIP.2016.2579308
  14. C. Li, J. Guo, and C. Guo, "Emerging from water: Underwater image color correction based on weakly supervised color transfer," IEEE Signal Processing Letters, vol. 25, no. 3, pp. 323-327, 2018. https://doi.org/10.1109/LSP.2018.2792050