Article: The international communication of Chinese red classics by multimodal information fusion and deep learning VGG network Journal: International Journal of Arts and Technology (IJART) 2026 Vol.16 No.6 pp.43 - 64 Abstract: To enhance the accuracy and effectiveness of international communication of Chinese red classics, this study first proposes an intelligent application framework comprising three layers: cultural semantic encoding, multimodal deep fusion, and intelligent application. A specific fusion model is then developed based on this framework. The model uses an optimised visual geometry group-19 (VGG-19) network as a visual feature extractor and incorporates an attention mechanism to improve the extraction of cultural symbols. In addition, the model includes multimodal adaptive interaction and multi-task decoding functions. Overall, the results confirm that the proposed method improves machines' understanding of the content and structure of Red Classics. This study provides a practical tool for digital interpretation and intelligent international dissemination of red classics. Inderscience Publishers - linking academia, business and industry through research

Title: The international communication of Chinese red classics by multimodal information fusion and deep learning VGG network

Authors: Yulan Bai; Jiayan Yu

Addresses: Jiangxi Drama Resources Research Centre, East China University of Technology, Nanchang, 330000, China ' School of Literature and Law, East China University of Technology, Nanchang, 330000, China

Abstract: To enhance the accuracy and effectiveness of international communication of Chinese red classics, this study first proposes an intelligent application framework comprising three layers: cultural semantic encoding, multimodal deep fusion, and intelligent application. A specific fusion model is then developed based on this framework. The model uses an optimised visual geometry group-19 (VGG-19) network as a visual feature extractor and incorporates an attention mechanism to improve the extraction of cultural symbols. In addition, the model includes multimodal adaptive interaction and multi-task decoding functions. Overall, the results confirm that the proposed method improves machines' understanding of the content and structure of Red Classics. This study provides a practical tool for digital interpretation and intelligent international dissemination of red classics.

Keywords: international communication of red classics; multimodal information fusion; VGG network; cross-cultural understanding; deep learning.

DOI: 10.1504/IJART.2026.154752

International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.43 - 64

Received: 18 Feb 2026
Accepted: 15 Apr 2026
Published online: 13 Jul 2026 *

Title: The international communication of Chinese red classics by multimodal information fusion and deep learning VGG network

Keep up-to-date