Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

April 10, 2024


Pages


DOI

Article

Using computer vision and natural language processing technology to understand the narrative plot of children’s picture books

Check for updates


Authors

Yajuan Jiang Affiliation:
School of Music and Dance, Zhengzhou University of Science and Technology, Zhengzhou, Henan 450000, China.


Abstract

Computer vision is used for monitoring and classification analysis in today’s society. The monitoring error rate of children’s picture books and the manual efficiency of classification are too slow, so it is difficult to find suitable books in a short time. Computer vision can help monitor and classify children’s picture books based on natural processing techniques. In this paper, the comparison between classical calculation and evolutionary calculation is used to prove that evolutionary calculation has a better accuracy, and the evolutionary calculation is further studied, finally reaching 97.8% accuracy in monitoring. This kind of evolutionary calculation should be vigorously developed in the future.


Keywords

Computer vision, natural language processing technology, toddler picture books, Evolutionary computation, 00-01


Citation

Jiang, Y. (2024). Using computer vision and natural language processing technology to understand the narrative plot of children’s picture books. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0755

Published by: Engineering Journals

Engineering Journals Logo