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Technology of Graphic & Image
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1274-1280

Key frame extraction algorithm of reinforcement learning based on multi-channel feature and attention mechanism

Cao Chunping
Yuan Kaige
School of Optical-Electrical& Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

Aiming at the problem of missing detection and false detection caused by inaccurate motion feature extraction of existing video key frame extraction algorithms, this paper proposed a reinforcement learning key frame extraction algorithm combining multi-channel feature and attention mechanism. The algorithm extracted the human skeleton joint points from the video sequence through the human posture recognition algorithm firstly. Then it used the S-GCN and ResNet50 network to extract the motion features and static features in the video sequence respectively, and performed a weighted fusion of the two. Finally, it applied the attention mechanism to calculate the importance of the video frame of the feature sequence, and used reinforcement learning to extract and optimize key frames. The experimental results show that the algorithm can solve the problem of missing and false detection in the key frame extraction of motion video. It performs well in the detection of video frames containing key actions, with high accuracy and strong stability.

Foundation Support

国家自然科学基金资助项目(71901144)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0332
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Technology of Graphic & Image
Pages: 1274-1280
Serial Number: 1001-3695(2022)04-054-1274-07

Publish History

[2021-11-22] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

曹春萍, 苑凯歌. 融合多路特征和注意力机制的强化学习关键帧提取算法 [J]. 计算机应用研究, 2022, 39 (4): 1274-1280. (Cao Chunping, Yuan Kaige. Key frame extraction algorithm of reinforcement learning based on multi-channel feature and attention mechanism [J]. Application Research of Computers, 2022, 39 (4): 1274-1280. )

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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