CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos

• Published in: EURASIP Journal on Information Security Vol. 2024; no. 1; pp. 34 - 12
• Main Authors: Bertazzini, Giulia, Baracchi, Daniele, Shullani, Dasara, Iuliani, Massimo, Piva, Alessandro
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 23.10.2024; Springer Nature B.V; SpringerOpen
• Subjects: Codec; Coding; Communications Engineering; Engineering; Feature extraction; Forensic computing; H.264/AVC video codec; Image compression; Image manipulation; Multimedia forensics; Networks; Security Science and Technology; Signal,Image and Speech Processing; Social networks; Software; Systems and Data Security; Task complexity; Video compression; Video forensics; Video sequences; Feature extraction; Video sequences; H.264/AVC video codec; Video forensics; Multimedia forensics

The forensic analysis of digital videos is becoming increasingly relevant to deal with forensic cases, propaganda, and fake news. The research community has developed numerous forensic tools to address various challenges, such as integrity verification, manipulation detection, and source characteriz...