Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2333-2337

Mining of video character relationship based on positive and negative association rules under MapReduce frame

Zhu Jin
Huai Libo
Cui Rongyi
Wang Qi
Intelligent Information Processing Laboratory, Dept. of Computer Science & Technology, Yanbian University, Yanji Jilin 133002, China
DOI: 10.19734/j.issn.1001-3695.2019.02.0041

Abstract

This paper proposed a method of video character relationship mining based on association rules under MapReduce frame aiming at the problem of single relationship in current video character relationship mining. Firstly, this method applied face clustering in the preprocessed video images. Secondly, it introduced three concepts of relational refinement, namely relational direction, relational weight and relational impact, and mined positive and negative association rules in the resulting face transaction database. Finally, this paper compared the mining result graph with the objective character relationship graph in the degree of difference among the corresponding graph nodes. Experiments show that the proposed method can extract the main structure of objective relation graph, at the same time complete the refinement of the relationship between characters compared with other video character relationship mining method. It has a strong reference value for the research of video content analysis.

Foundation Support

吉林省教育厅“十三五”科学技术研究项目(JJKH20180897KJ)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.02.0041
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2333-2337
Serial Number: 1001-3695(2020)08-019-2333-05

Publish History

[2020-08-05] Printed Article

Cite This Article

朱晋, 怀丽波, 崔荣一, 等. MapReduce框架下基于正负关联规则的视频人物关系挖掘 [J]. 计算机应用研究, 2020, 37 (8): 2333-2337. (Zhu Jin, Huai Libo, Cui Rongyi, et al. Mining of video character relationship based on positive and negative association rules under MapReduce frame [J]. Application Research of Computers, 2020, 37 (8): 2333-2337. )

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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