Visual analysis and application of big data in product art design

Facing the information age, the field of visual art design is also influenced and inspired by big data. Based on the comprehensive analysis of big data, this study discusses its practical application and potential value in visual art design. Starting from the core elements of big data, this paper deeply analyzes its challenges and countermeasures in art design, further combs the complete link from data collection, processing and analysis to model optimization, proposes a theoretical framework that combines big data analysis with visual art design, and on this basis, carries out a series of empirical analyses. Through the application of refined data processing and analysis models, the aim is to realize the organic combination of precision and creativity in the process of art design, and to explore the future integration of art and technology.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-04-14
DOI
https://doi.org/10.1177/14727978251321347
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

Visual analysis and application of big data in product art design

Qiang Wu, Haijun Liu
Journal of Computational Methods in Sciences and Engineering
Digital Media and Visual Art
article

Visual analysis and application of big data in product art design

Qiang Wu, Haijun Liu
article en

Abstract

Facing the information age, the field of visual art design is also influenced and inspired by big data. Based on the comprehensive analysis of big data, this study discusses its practical application and potential value in visual art design. Starting from the core elements of big data, this paper deeply analyzes its challenges and countermeasures in art design, further combs the complete link from data collection, processing and analysis to model optimization, proposes a theoretical framework that combines big data analysis with visual art design, and on this basis, carries out a series of empirical analyses. Through the application of refined data processing and analysis models, the aim is to realize the organic combination of precision and creativity in the process of art design, and to explore the future integration of art and technology.

Journal of Computational Methods in Sciences and EngineeringVol. 25(3)
Chongqing Vocational Institute of Engineering (CN), Wuyi University (CN)
Openalex Percentile: Top 87%
Digital Media and Visual Art
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Visual analysis and application of big data in product art design — Qiang Wu, Haijun Liu · Journal of Computational Methods in Sciences and Engineering (2025) | TGRS Research Map | TGRS