In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 4
1250-1255

Research on image sentiment analysis based on multi-visual object fusion

Miao Yuqing1a,1b
Lei Qingqing1a
Zhang Wanzhen2
Zhou Ming3
Wen Yimin1a
1. a. School of Computer Science & Information Security, b. Key Laboratory of Image & Graphics Intelligent Processing, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
2. Practice Teaching Dept. , Guilin University of Aerospace Technology, Guilin Guangxi 541004, China
3. Guilin Hivision Technology Company, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2020.02.0087

Abstract

The existing image sentiment analysis methods pay less attention to the influence of salient object and face on the sentiment expression of images. This paper proposed an image sentiment analysis method based on multi-visual object fusion. Firstly, it detected the salient object and face object area in the whole image. Then, it used the feature pyramid to improve the CNN to recognize the emotion of the salient object, and constructed the weighted loss CNN to identify the emotion of the face based on the multi-layered supervision module. Finally, the salient object sentiment, facial object sentiment and the sentiment directly recognized by the whole image were fused to get the final sentiment classification result. The experimental results show that the sentiment analysis based on multi-visual object fusion is more accurate than the method of directly identifying the whole image.

Foundation Support

国家自然科学基金资助项目(61763007,61866007)
广西自然科学基金联合资助项目(2018GXNSFAA138082)
广西图像图形智能处理重点实验室项目(GIIP201706)
广西密码学与信息安全重点实验室项目(GCIS201816)
桂林市科学技术局重大项目(科技攻关20170301)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0087
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Technology of Graphic & Image
Pages: 1250-1255
Serial Number: 1001-3695(2021)04-056-1250-06

Publish History

[2021-04-05] Printed Article

Cite This Article

缪裕青, 雷庆庆, 张万桢, 等. 多视觉目标融合的图像情感分析研究 [J]. 计算机应用研究, 2021, 38 (4): 1250-1255. (Miao Yuqing, Lei Qingqing, Zhang Wanzhen, et al. Research on image sentiment analysis based on multi-visual object fusion [J]. Application Research of Computers, 2021, 38 (4): 1250-1255. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)