Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
383-387

Image question answering based on multi-view semantic graph network

Qiao Youtian1
Zhang Haijun2
Lu Ming3
1. School of Electronic Engineering, Yangzhou Polytechnic College, Yangzhou Jiangsu 225200, China
2. School of Information, Beijing Wuzi University, Beijing 101149, China
3. School of Cyber Science & Technology, Beihang University, Beijing 100191, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0335

Abstract

Recently, image question answering based on the fusion of visual features and text features has become one of the hot research issues of automatic question answering. Most of the existing models are based on the attention mechanism to explore the relationship between the image and the question sentence, which ignores the correlation between the image area and the question words in the same mode and different views. To solve these problems, this paper proposed an image question answering model(MSGN) based on multi-view semantic graph network, which could mine the semantic correlation between images and questions from multiple views. Meanwhile, it used the graph neural network model to mine the fine-grained intra and inter-modal correlation between image regions and question words. It carried out extensive experiments on public data sets. The experimental results show that the image automatic question answering model based on multi-view semantic graph network can improve the performance of image question answering.

Foundation Support

北京市自然科学基金资助项目(4182037)
北京社会科学基金资助项目(21XCB005)
北京市教委科技计划资助项目(KM201810037001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0335
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 383-387
Serial Number: 1001-3695(2023)02-011-0383-05

Publish History

[2022-09-21] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

乔有田, 张海军, 路明. 基于多路语义图网络的图像自动问答 [J]. 计算机应用研究, 2023, 40 (2): 383-387. (Qiao Youtian, Zhang Haijun, Lu Ming. Image question answering based on multi-view semantic graph network [J]. Application Research of Computers, 2023, 40 (2): 383-387. )

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.

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