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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
887-890,900

Video hash algorithm based on 3D convolutional neural network

Liu Yuying1
Liu Hongzhe1
Yuan Jiazheng2
Li Bing3
1. Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China
2. Beijing Open University, Beijing 100081, China
3. State Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0664

Abstract

In order to solve the problem that the speed and accuracy of the current similarity video retrieval methods still cannot meet the requirements of users, this paper proposed a new similarity video quick retrieval method, which combined the three-dimensional convolutional neural network with the hash learning method and applied to video data. It could not only quickly learn the video spatiotemporal feature representation, but also greatly shorten the video retrieval time. The experimental results on the set show that the similarity retrieval performance of the video using the proposed method is superior to the current mainstream methods.

Foundation Support

国家自然科学基金资助项目(61871039,61571045,6180219,6190601)
国家科技支撑计划资助项目(2015BAH55F03,015BAH55F03)
北京市属高校高水平教师队伍建设创新团队建设提升计划资助项目(IDHT20170511)
北京市自然科学基金资助项目(4184088)
北京联合大学领军人才资助项目(BPHR2019AZ01)
北京市教委资助项目(KM201911417001,KM201711417005)
智能贺驶大数据协同创新中心资助项目(CYXC1902)
北京联合大学资助项目(WZ10201903)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0664
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Graphic & Image
Pages: 887-890,900
Serial Number: 1001-3695(2020)03-055-0887-04

Publish History

[2020-03-05] Printed Article

Cite This Article

刘玉莹, 刘宏哲, 袁家政, 等. 基于3D卷积神经网络的视频哈希算法 [J]. 计算机应用研究, 2020, 37 (3): 887-890,900. (Liu Yuying, Liu Hongzhe, Yuan Jiazheng, et al. Video hash algorithm based on 3D convolutional neural network [J]. Application Research of Computers, 2020, 37 (3): 887-890,900. )

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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