Research on image and text in visual communication design under artificial intelligence

Yuanyi Yuan; Longjun Wu; Yong Zou

doi:10.1117/12.3034190

13 June 2024 Research on image and text in visual communication design under artificial intelligence

Yuanyi Yuan, Longjun Wu, Yong Zou

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131802C (2024) https://doi.org/10.1117/12.3034190
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

The paper examines the integration of AI in visual communication design, particularly focusing on the enhanced impact of images when combined with text. It explores the evolution of visual communication design in the context of AI advancements, emphasizing the increasing significance of this discipline in today's technology-driven society. Key areas of discussion include the role of artificial intelligence, specifically deep learning, in image recognition and natural language processing, and its application in visual communication design. The paper details the development and training of an image recognition and text matching model, showcasing the effective application of convolutional neural networks (CNNs) and Word2Vec in visual design tasks. The research concludes by highlighting the successful translation of deep learning theoretical achievements into practical visual communication design applications, demonstrating the model's proficiency in image recognition and text matching within a business and engineering framework.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuanyi Yuan, Longjun Wu, and Yong Zou "Research on image and text in visual communication design under artificial intelligence", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131802C (13 June 2024); https://doi.org/10.1117/12.3034190

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