Cargando…
Research on Emotion Analysis of Chinese Literati Painting Images Based on Deep Learning
Starting from a pure-image perspective, using machine learning in emotion analysis methods to study artwork is a new cross-cutting approach in the field of literati painting and is an effective supplement to research conducted from the perspectives of aesthetics, philosophy, and history. This study...
Autores principales: | Zhang, Jie, Duan, Yingjing, Gu, Xiaoqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356227/ https://www.ncbi.nlm.nih.gov/pubmed/34393959 http://dx.doi.org/10.3389/fpsyg.2021.723325 |
Ejemplares similares
-
A Novel Paradigm to Design Personalized Derived Images of Art Paintings Using an Intelligent Emotional Analysis Model
por: Duan, Yingjing, et al.
Publicado: (2021) -
Emotion Recognition of Chinese Paintings at the Thirteenth National Exhibition of Fines Arts in China Based on Advanced Affective Computing
por: Li, Jing, et al.
Publicado: (2021) -
Emotion Analysis Based on Deep Learning With Application to Research on Development of Western Culture
por: Chen, Ming
Publicado: (2022) -
Emotion research on education public opinion based on text analysis and deep learning
por: Niu, Shulin
Publicado: (2022) -
Visual Expression of Emotion in Dynamic 3D Painting System Based on Emotion Synthesis Model
por: Cheng, Shenghe
Publicado: (2021)