Information from the abstract
Background and Aims: This research establishes a knowledge framework for the development of Hunan oil painting by analyzing its aesthetic value management within a cultural context. It aims to construct a comprehensive data-driven system that systematically quantifies aesthetic characteristics, maps cultural networks, and supports the sector's creative, academic, and commercial development. Methodology: The study adopts a mixed-methods design, integrating quantitative computational techniques (including improved ResNet-50 models and knowledge graph construction) with qualitative art historical analysis. The methodology proceeded through three phases: (1) systematic mapping of Hunan oil painting's trajectory and theories; (2) construction of a multidimensional dataset from artworks, archives, and market data (N=1,850 works); and (3) establishment of a technical framework using big data analytics and deep learning. Results: The results demonstrated: (1) the establishment of an evaluation index system for the aesthetic value of Hunan oil painting, introducing the quantifiable concept of "cultural data density"; (2) the development of the Hunan Oil Painting Digital Asset Management Platform (prototype) and a Visual Yearbook (1949-2025); (3) successful interdisciplinary integration, creating a paradigm combining art, data science, and cultural geography. The ResNet-50 model achieved 91.3% classification accuracy (95% CI: 89.5-93.1%), and a knowledge graph with 37,000 relationships was constructed. Conclusions: This study provides a replicable, data-driven paradigm for regional art research. By transforming implicit aesthetic values into explicit, manageable knowledge assets through the "cultural context–aesthetic value–data management" model, it offers substantial support for the creative innovation, academic study, and sustainable development of Hunan oil painting.
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Related topics: Aesthetic Perception and Analysis · Art History and Market Analysis · Cultural Industries and Urban Development
Thai researcher and institutional participation
Wenqin Zeng · Pichai Sodbhiban · Bangkokthonburi University
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