Detection of Photoplethysmography Manipulation in Video Forgery

Author:

Lin Yuzhen1,Maiorana Emanuele2,Li Bin3,Campisi Patrizio2

Affiliation:

1. Shenzhen Key Lab of Media Security, Shenzhen University,Guangdong Key Lab of Intelligent Information Processing,Shenzhen,China

2. Roma Tre University,Dept. of Industrial, Electronic and Mechanical Engineering,Rome,Italy

3. Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration,Shenzhen,China

Funder

NSFC

China Scholarship Council

Publisher

IEEE

Reference36 articles.

1. Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks;yu;British Machine Vision Conference (BMVC),0

2. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

3. Algorithmic Principles of Remote PPG

4. Xception: Deep Learning With Depthwise Separable Con-volutions;chollet;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

5. Phys-Former: Facial Video-Based Physiological Measurement With Temporal Difference Transformer;yu;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

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