Technology of Graphic & Image
|
911-918

Evolutionary deep learning for image captioning

Gao Xin1,2a
Sun Maosheng2b
Zhu Junwu2a
1. School of Information Engineering, Jiangsu College of Tourism, Yangzhou Jiangsu 225131, China
2. a. College of Information Engineering, b. Office of Informationization Construction & Administration, Yangzhou University, Yangzhou Jiangsu 225127, China

Abstract

Aiming at the problem that the existing automatic image description generation models based on visual attention and text attention cannot describe the image details and the whole image at the same time, this paper proposed a model for image captioning which included three sub-modules, i. e., an image encoder, an evolutionary neural network, and an adaptive merging decoder. The proposed model could effectively integrate both the visual information and text information, and automatically calculated the proportion of these two information at each time step. The experimental results on two public data sets, Flickr30k and COCO2014, show that the proposed EDLMIC model is superior to other baseline models in four indicators such as METEOR, ROUGE-L, CIDEr and SPICE, and has good performance in a variety of different life scenes.

Foundation Support

江苏省高职院校教师专业带头人高端研修项目
国家自然科学基金资助项目(61872313)
江苏省教育信息化研究重点课题(20180012)
扬州市科技计划资助项目(YZ2019133,YZ2020174)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0266
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Technology of Graphic & Image
Pages: 911-918
Serial Number: 1001-3695(2022)03-047-0911-08

Publish History

[2021-09-18] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

高欣, 孙茂圣, 朱俊武. 基于演化深度学习的图像描述自动生成技术研究 [J]. 计算机应用研究, 2022, 39 (3): 911-918. (Gao Xin, Sun Maosheng, Zhu Junwu. Evolutionary deep learning for image captioning [J]. Application Research of Computers, 2022, 39 (3): 911-918. )

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)