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.
Technology of Graphic & Image
|
625-629

Image relativity metric based on classification with DCNN

Wang Huiyong
Xie Chunjie
Zhang Xiaoming
Sun Xiaoling
School of Information Science & Engineering, Hebei University of Science & Technology, Shijiazhuang 050018, China

Abstract

When measuring the similarity between images, the content of the physical features(color layout descriptor, gray histogram descriptor, etc. ) may not be very comprehensive, so it is necessary to refer to the semantic information contained in image vision to measure the relativity between images. This paper proposed a method based on DCNN classification model to measure image correlation. The model was used to bind the semantic label from WordNet, it filtered and expanded the label according to WordNet structure, and used the concept set to calculate image relativity. Compared with the manually determined sample data, the peak value of Pearson correlation coefficient can reach 0.73, which proves that this method has a certain effect in the measurement of image correlation.

Foundation Support

河北省自然科学基金资助项目(F2018208116)
河北省科技计划资助项目(16210312D)
河北省教育厅科研资助项目(ZD2015099)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0487
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Technology of Graphic & Image
Pages: 625-629
Serial Number: 1001-3695(2020)02-068-0625-05

Publish History

[2020-02-05] Printed Article

Cite This Article

王会勇, 谢春杰, 张晓明, 等. 基于DCNN分类的图像相关度度量 [J]. 计算机应用研究, 2020, 37 (2): 625-629. (Wang Huiyong, Xie Chunjie, Zhang Xiaoming, et al. Image relativity metric based on classification with DCNN [J]. Application Research of Computers, 2020, 37 (2): 625-629. )

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)