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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 6
1717-1722

Supervision video R-tree retrieval method based on semantic and spectral clustering algorithm

Song Huazhu
Cheng Gui
Wu Shifeng
Zhong Xian
College of Computer Science & Technology, Wuhan University of Technology, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0133

Abstract

The video of civil engineering supervision provides an effective method to improve the quality of civil engineering supervision. This paper first took the video retrieval of civil engineering supervision as the research object, established the semantics of civil engineering supervision video, and regulated the semantic division of civil engineering supervision video. It trained some related Chinese entries in Wikipedia and several civil engineering supervision entries in the domain on word vectors, and used these word vector data to train the labeled data items in order to provide the word vector data with semantic for the R-tree in the video of civil engineering supervision. Then it studied the nodes splitting based on spectral clustering and the proposed the corresponding algorithm, and also proposed the R-tree node retrieval algorithm based on word vector. Finally, the practical experimental results show that the semantic proposed is able to represent the video in the civil engineering supervision, and the proposed algorithms can effectively improve the indexing speed and recall rate of civil engineering supervision video.

Foundation Support

国家自然科学基金资助项目(61003130)
国家科技支撑计划子课题(2012BAH33F03)
湖北省自然科学基金资助项目(2015CFB525)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0133
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Algorithm Research & Explore
Pages: 1717-1722
Serial Number: 1001-3695(2019)06-025-1717-06

Publish History

[2019-06-05] Printed Article

Cite This Article

宋华珠, 程贵, 巫世峰, 等. 基于语义和谱聚类的监理视频R树检索方法 [J]. 计算机应用研究, 2019, 36 (6): 1717-1722. (Song Huazhu, Cheng Gui, Wu Shifeng, et al. Supervision video R-tree retrieval method based on semantic and spectral clustering algorithm [J]. Application Research of Computers, 2019, 36 (6): 1717-1722. )

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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