Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1559-1564

Visual and textual based multimodal document object detection

Li Yuteng
Shi Cao
Xu Canhui
Cheng Yuanzhi
School of Information Science & Technology, Qingdao University of Science & Technology, Qingdao Shandong 266061, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0425

Abstract

The layout of document images is complex and distribution of object sizes is uneven, currently, most of detection methods ignore multimodal information and global dependencies. Therefore, this paper proposed a multimodal document object detection method based on vision and text. Firstly, this method explored the fusion strategy of multimodal features. In order to utilize textual features, it converted text sequence information of the image into two-dimensional representation. After the initial fusion of text features and visual features, it input the fused features to backbone network to extract multiscale features, and repeatedly integrated textual features during the extraction process, so as to realize deep fusion of multimodal features. Next, to ensure the detection accuracy of small and large objects, this paper designed a pyramid network. The lateral connection could concatenate feature maps of the same spatial size from the bottom-up pathway and the top-down pathway in channel, so as to achieve the propagation between high-level semantic information and low-level feature information. The experimental results on large public dataset PubLayNet show that the detection accuracy of this method reaches 95.86%, and it has a higher accuracy than other methods. This method not only realizes the deep fusion of multimodal features, but also enriches the fused multimodal feature information, and it has good detection performance.

Foundation Support

国家自然科学基金资助项目(61806107,61702135)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0425
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Technology of Graphic & Image
Pages: 1559-1564
Serial Number: 1001-3695(2023)05-043-1559-06

Publish History

[2022-11-08] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

李玉腾, 史操, 许灿辉, 等. 基于视觉和文本的多模态文档图像目标检测 [J]. 计算机应用研究, 2023, 40 (5): 1559-1564. (Li Yuteng, Shi Cao, Xu Canhui, et al. Visual and textual based multimodal document object detection [J]. Application Research of Computers, 2023, 40 (5): 1559-1564. )

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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