TY - GEN
T1 - A Contrario Detection of H.264 Video Double Compression
AU - Li, Yanhao
AU - Gardella, Marina
AU - Bammey, Quentin
AU - Nikoukhah, Tina
AU - Morel, Jean Michel
AU - Colom, Miguel
AU - Von Gioi, Rafael Grompone
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - Video manipulation detection plays a vital role in modern multimedia forensics. In particular, double compression detection provides significant clues leading to the video edition history and hinting at potential malevolent manipulation. While such an analysis is well-understood on images, the research on this subject remains lacking in videos and existing methods are not yet able to reliably detect double-compressed videos. This work presents a novel method for identifying double compression in H.264 codec videos. Our technique exploits the periodicity of frame residuals caused by fixed Group of Pictures in the initial compression, and employs an a contrario framework to minimize and control false detections. The proposed method can reliably detect double compression in videos. It does not require threshold tuning, thus enabling automatic detection. The code is available at https://github.com/li-yanhao/gop-detection.
AB - Video manipulation detection plays a vital role in modern multimedia forensics. In particular, double compression detection provides significant clues leading to the video edition history and hinting at potential malevolent manipulation. While such an analysis is well-understood on images, the research on this subject remains lacking in videos and existing methods are not yet able to reliably detect double-compressed videos. This work presents a novel method for identifying double compression in H.264 codec videos. Our technique exploits the periodicity of frame residuals caused by fixed Group of Pictures in the initial compression, and employs an a contrario framework to minimize and control false detections. The proposed method can reliably detect double compression in videos. It does not require threshold tuning, thus enabling automatic detection. The code is available at https://github.com/li-yanhao/gop-detection.
KW - Video double compression
KW - a contrario
KW - deepfake detection
KW - group of pictures
KW - video forensics
UR - https://www.scopus.com/pages/publications/85175609794
U2 - 10.1109/ICIP49359.2023.10222775
DO - 10.1109/ICIP49359.2023.10222775
M3 - Conference contribution
AN - SCOPUS:85175609794
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1765
EP - 1769
BT - 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings
PB - IEEE Computer Society
T2 - 30th IEEE International Conference on Image Processing, ICIP 2023
Y2 - 8 October 2023 through 11 October 2023
ER -