干旱区生态环境知识资源中心(Arid): Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem

Arid

DOI	10.1177/02762374231163481
	Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem
	Gonzalez-Martin, Cesar; Carrasco, Miguel; Wachter Wielandt, Thomas Gustavo
通讯作者	González-Martín, C
来源期刊	EMPIRICAL STUDIES OF THE ARTS
ISSN	0276-2374
EISSN	1541-4493
出版年	2024
卷号	42 期号:1 页码:38-64
英文摘要	This research is framed within the study of automatic recognition of emotions in artworks, proposing a methodology to improve performance in detecting emotions when a network is trained with an image type different from the entry type, which is known as the cross-depiction problem. To achieve this, we used the QuickShift algorithm, which simplifies images' resources, and applied it to the Open Affective Standardized Image (OASIS) dataset as well as the WikiArt Emotion dataset. Both datasets are also unified under a binary emotional system. Subsequently, a model was trained based on a convolutional neural network using OASIS as a learning base, in order to then be applied on the WikiArt Emotion dataset. The results show an improvement in the general prediction performance when applying QuickShift (73% overall). However, we can observe that artistic style influences the results, with minimalist art being incompatible with the methodology proposed.
英文关键词	emotion art cross-depiction problem deep learning QuickShift
类型	Article
语种	英语
收录类别	SSCI ; AHCI
WOS记录号	WOS:000951952400001
WOS关键词	COLOR PREFERENCE ; RECOGNITION ; AROUSAL
WOS类目	Humanities, Multidisciplinary ; Psychology, Multidisciplinary
WOS研究方向	Arts & Humanities - Other Topics ; Psychology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403483
推荐引用方式 GB/T 7714	Gonzalez-Martin, Cesar,Carrasco, Miguel,Wachter Wielandt, Thomas Gustavo. Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem[J],2024,42(1):38-64.
APA	Gonzalez-Martin, Cesar,Carrasco, Miguel,&Wachter Wielandt, Thomas Gustavo.(2024).Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem.EMPIRICAL STUDIES OF THE ARTS,42(1),38-64.
MLA	Gonzalez-Martin, Cesar,et al."Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem".EMPIRICAL STUDIES OF THE ARTS 42.1(2024):38-64.