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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3771-3775

Fake face video detection method based on improved triplet loss

Yang Tinga,b
Zhu Xi'ana,b
Zhang Fana,b
a. Key Laboratory of Ministry of Education for Optoelectronic Measurement Technology & Instrumentation, b. School of Information & Communication Engineering, Beijing Information Science & Technology University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0130

Abstract

Most of the current fake face detection technologies use deep learning to identify the feature differences between real videos and fake videos, and have achieved good results on uncompressed videos. But the detection performance on compressed video will be severely reduced. Therefore, this paper proposed a fake face video detection method based on improved triplet loss to tackle the above problem. Firstly, it used an artifact map generated by the artifact map generator to deepen the feature difference between the fake face and the real face. Secondly, it used improved triplet loss to solve the problem of hard samples that were difficult to detect correctly. Finally, it chose a deep learning network that was more suitable for fake face detection to extract convolutional features. Experiments on the FaceForensics++ dataset show that proposed method is better than other state-of-the-art methods.

Foundation Support

国家自然科学基金资助项目(61671069,62001033,62001034)
北京信息科技大学“勤信人才”培育计划资助项目(QXTCPA201902)
北京市教委面上项目(KM202011232021)
北京信息科技大学校基金资助项目(2025017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0130
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Graphic & Image
Pages: 3771-3775
Serial Number: 1001-3695(2021)12-045-3771-05

Publish History

[2021-12-05] Printed Article

Cite This Article

杨挺, 朱希安, 张帆. 基于改进三元组损失的伪造人脸视频检测方法 [J]. 计算机应用研究, 2021, 38 (12): 3771-3775. (Yang Ting, Zhu Xi'an, Zhang Fan. Fake face video detection method based on improved triplet loss [J]. Application Research of Computers, 2021, 38 (12): 3771-3775. )

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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