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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3276-3281,3288

Research on video summarization algorithm fusing multimodal features and time zone detection

Bai Chen
Fan Tao
Wang Wenjing
Wang Guozhong
School of Electronic & Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0113

Abstract

To address the issues of traditional video summarization algorithms not fully utilizing multimodal information in videos and struggling to ensure temporal consistency of summary video segments, this paper proposed a new video summarization algorithm(MTNet) that fused multimodal features and temporal zone detection. Firstly, it extracted the visual and audio features of the videos using pre-trained GoogLeNet and VGGish models, and designed a dimension smoothing operation to align the two modal features, endowing the model with comprehensive representation capabilities. Secondly, considering that the generated video summaries should have global representativeness, it combined single and double-layer self-attention mechanisms with residual structures. to extract long-range temporal features of video images and audio features, obtaining a single vector representation of the model in the temporal domain. Lastly, it predicted summary boundaries and importance of indivi-dual temporal segments in the video using separated temporal zone detection and weight sharing methods. It selected key video segments to generate video summaries through non-maximum suppression. Experimental results show that MTNet has stronger representation capabilities and robustness on two standard datasets, SumMe and TvSum. It achieves an increase in F1-score compared to the anchor-free video summarization algorithm DSNet-AF and the shot importance prediction-based video summarization algorithm VASNet on both datasets.

Foundation Support

国家重点研发计划重点专项2019年度资助项目(2019YFB180270200)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0113
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Algorithm Research & Explore
Pages: 3276-3281,3288
Serial Number: 1001-3695(2023)11-011-3276-06

Publish History

[2023-06-01] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

白晨, 范涛, 王文静, 等. 融合多模态特征与时区检测的视频摘要算法 [J]. 计算机应用研究, 2023, 40 (11): 3276-3281,3288. (Bai Chen, Fan Tao, Wang Wenjing, et al. Research on video summarization algorithm fusing multimodal features and time zone detection [J]. Application Research of Computers, 2023, 40 (11): 3276-3281,3288. )

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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