Technology of Graphic & Image
|
587-590

Research on emotion of abstract painting based on multi-feature fusion

Bai Ruyi
Guo Xiaoying
Jia Chunhua
School of Automation & Software, Shanxi University, Taiyuan 030013, China

Abstract

Abstract painting, as an implied work of art, conveys implicit emotions. Therefore, it is also difficult to determine the emotion of abstract painting. This paper used multiple feature fusion to predict the emotions of abstract painting. Firstly, it used K-means clustering to extract the main tone of abstract image as the underlying color feature, used gray-gradient co-occurrence matrix(GGCM) for the underlying texture feature, and used CNN network to extract the high-level semantic feature automatically. Secondly, because of the different feature dimensions, it adopted multiple kernel learning(MKL) to fuse the underlying and high-level semantic features. Finally, it applied MKL-SVM to realize the emotion recognition of abstract pain-ting, which included positive and negative. This paper tested on MART data set. The experimental results show that the proposed method outperforms the existing models in test performance.

Foundation Support

国家自然科学青年基金资助项目(61603228)
山西省面上青年基金资助项目(201901D211171)
山西省回国留学人员科研教研项目(HGKY2019001)
山西省高等学校科研创新项目(2020L0036)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.10.0643
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Technology of Graphic & Image
Pages: 587-590
Serial Number: 1001-3695(2021)02-052-0587-04

Publish History

[2021-02-05] Printed Article

Cite This Article

白茹意, 郭小英, 贾春花. 基于多特征融合的抽象画情感研究 [J]. 计算机应用研究, 2021, 38 (2): 587-590. (Bai Ruyi, Guo Xiaoying, Jia Chunhua. Research on emotion of abstract painting based on multi-feature fusion [J]. Application Research of Computers, 2021, 38 (2): 587-590. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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