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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1595-1600

Multi-modal video scene segmentation optimization algorithm based on convolutional neural network

Huang Qinga
Feng Hongcaib
Liu Lia
a. School of Mathematics & Computer Sciences, b. Network & Information Center, Wuhan Polytechnic University, Wuhan 430023, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0404

Abstract

Aiming at the problem that the efficiency of scene segmentation in content-based video retrieval needs to be improved, this paper proposed a multi-modal video scene segmentation optimization algorithm based on feature extraction of convolutional neural network. Firstly, the algorithm applied the improved VGG19 network to extract underlying features and semantic features from each video shots. Secondly, this paper combined these features into vectors and applied the method of triplet loss learning and shot similarity calculation, so that converted the scene segmentation task to a binary classification problem for shot boundary. Finally, this paper established a scoring mechanism to optimize the results and obtained the segmented video scene and corresponding scene boundary. Experimental results show that the algorithm can be effective in video scene segmentation, and the overall recall and precision indicators can reach 85.77% and 87.01%.

Foundation Support

湖北省教育厅重点科研计划资助项目(D20101703)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0404
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Technology of Graphic & Image
Pages: 1595-1600
Serial Number: 1001-3695(2022)05-054-1595-06

Publish History

[2021-12-09] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

黄清, 丰洪才, 刘立. 基于卷积神经网络的多模态视频场景分割优化算法 [J]. 计算机应用研究, 2022, 39 (5): 1595-1600. (Huang Qing, Feng Hongcai, Liu Li. Multi-modal video scene segmentation optimization algorithm based on convolutional neural network [J]. Application Research of Computers, 2022, 39 (5): 1595-1600. )

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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