Jin Chen
Fuzhou University, Fuzhou 350108, Fujian, China.
*Corresponding author: Jin Chen
Abstract
As a traditional form of traditional Chinese opera originating from the Fujian region, Fujian opera’s visual expression system, including exquisite costume patterns, formulaic facial makeup, and symbolic stage art, carries profound regional cultural genes. However, under the impact of digital media, the inheritance and development of Fujian opera face severe challenges. There is a lack of successors to traditional skills, insufficient systematic protection of visual elements, and a shrinking young audience, all of which have continuously squeezed the survival space of this ancient art. At the same time, computer vision, as an important branch of artificial intelligence, has opened up a new path for the digital preservation and innovative application of traditional art through techniques such as image recognition, style analysis, and feature extraction. This study explores the cross integration of computer vision technology and the protection of visual elements in Fujian opera in the context of this era, aiming to inject new vitality into the inheritance of traditional culture through technological innovation.
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How to cite this paper
Research on Computer Vision Empowering the Extraction and Innovative Application of Visual Graphic Elements in Fujian Opera
How to cite this paper: Jin Chen. (2025) Research on Computer Vision Empowering the Extraction and Innovative Application of Visual Graphic Elements in Fujian Opera. Journal of Humanities, Arts and Social Science, 9(11), 2092-2095.
DOI: http://dx.doi.org/10.26855/jhass.2025.11.002