Cultural and Creative Product Design and Image Recognition Based on the Convolutional Neural Network Model

被引:0
|
作者
Han, Sangyun [1 ]
Shi, Zhifang [1 ]
Shi, Yongkang [1 ]
机构
[1] Hanseo Univ, Dept Design Convergence, Seosan 31962, South Korea
关键词
FEATURES;
D O I
10.1155/2022/2586042
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The development in technology has resulted in the utilization of artificial intelligence systems in various fields. In this research, we are going to study cultural and creative product design and image recognition based on a convolutional neural network (CNN) model. A convolutional neural network is referred to as a type of artificial neural network (ANN) that is used to analyze visual images. Our proposed system deploys a convolutional neural network model for image recognition in the field of cultural and creative product design. Cultural and creative products are becoming more popular these days. The cultural and creative products are referred to as innovative products or innovative new product design which makes use of the cultural symbols and other cultural factors in their design. In simple words, it is the integration of culture and creativity in a new product design. The main aspect of cultural creative products is the incorporation of cultural features into a new product, thus obtaining a creative- and culture-based product. The study results have proved that CNN has provided an accuracy of 87%.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Cultural and Creative Product Design and Image Recognition Based on the Convolutional Neural Network Model
    Han, Sangyun
    Shi, Zhifang
    Shi, Yongkang
    [J]. Computational Intelligence and Neuroscience, 2022, 2022
  • [2] Cultural and Creative Product Design and Image Recognition Based on Deep Learning
    Li, Ren
    Wang, Chunbin
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [3] An image recognition model based on improved convolutional neural network
    Zhou, Tao
    [J]. Journal of Computational and Theoretical Nanoscience, 2016, 13 (07) : 4223 - 4229
  • [4] A New Model of Image Recognition Based on Quantum Convolutional Neural Network
    Fan, Xingkui
    Liu, Guangzhe
    Wang, Haowen
    Ma, Hongyang
    Li, Wei
    Wang, Shumei
    [J]. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2022, 51 (05): : 642 - 650
  • [5] Face Image Recognition Based on Convolutional Neural Network
    Guangxin Lou
    Hongzhen Shi
    [J]. China Communications, 2020, 17 (02) : 117 - 124
  • [6] Face Image Recognition Based on Convolutional Neural Network
    Lou, Guangin
    Shi, Hongzhen
    [J]. CHINA COMMUNICATIONS, 2020, 17 (02) : 117 - 124
  • [7] Forest fire image recognition based on convolutional neural network
    Wang Yuanbin
    Dang Langfei
    Ren Jieying
    [J]. JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 2019, 13
  • [8] Image Target Recognition Based on Improved Convolutional Neural Network
    Wang, Jinjuan
    Zeng, Xiliang
    Duan, Shan
    Zhou, Qun
    Peng, Hao
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [9] Image Classification And Recognition Based On The Deep Convolutional Neural Network
    Wang, Yuan-yuan
    Zhang, Long-jun
    Xiao, Yang
    Xu, Jing
    Zhang, You-jun
    [J]. PROCEEDINGS OF THE 2017 2ND JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING CONFERENCE (JIMEC 2017), 2017, 62 : 171 - 174
  • [10] Research on Cultural and Creative Product Design Based on the Wuhan City Image
    Wang, Jingran
    Weng, Chunmeng
    Zeng, Li
    [J]. PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ARTS, DESIGN AND CONTEMPORARY EDUCATION (ICADCE 2018), 2018, 232 : 566 - 571