Bibliographic Details
| Title: |
Extraction of Visual Communication Design Elements Based on Machine Learning. |
| Authors: |
Lin Liu1 liulin19910600@163.com |
| Source: |
Computer-Aided Design & Applications. 2025 Special Issue, Vol. 22, p181-194. 14p. |
| Subjects: |
Machine learning, Automatic classification, Visual communication, Classification algorithms, Algorithms |
| Abstract: |
As visual communication design (VCD) rapidly evolves, traditional methods for extracting design elements struggle to meet the demands for efficiency and accuracy. This article deeply explores the application achievements of machine learning in the intelligent extraction of elements in educational applications. Based on this method, an algorithm for automatically extracting classifications from a comprehensive dataset was studied and constructed. In the design and classification process of intelligent application machine learning, the potential educational applications of the algorithm for automatic classification were deeply explored. In this teaching application, design elements can effectively conduct precision case study exercises in systematic practical learning cases. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
