13M031FVS - Video Forensics

Course specification
Course title		Video Forensics
Acronym		13M031FVS
Study programme		Electrical Engineering and Computing
Module		Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications
Type of study		master academic studies
Lecturer (for classes)		professor PhD Ana Gavrovska
Lecturer/Associate (for practice)		professor PhD Ana Gavrovska
Lecturer/Associate (for OTC)		professor PhD Ana Gavrovska
ESPB		6.0	Status	elective
Condition		None
The goal		Introducing the main digital forensics principles applicable to video signals. Introducing the principles for signal authenticity (fingerprinting).
The outcome		Empowering students to analyze and recognize the manipulations in video or still images, including the insertion of specific data, as well as any other common alterations in original video content.
Contents
Contents of lectures		Description of the characteristics in the importance of video forensics. Still image forensics. Camera forensics. Pixel forensics. Statistical forensics. Forensics based on geometry, changes of lightness, and shadowing. Video signal forensics.
Contents of exercises		Computer lab exercises.
Literature
Sencar, H. T., Verdoliva, L., & Memon, N., Multimedia forensics, Springer, 2022. K. J. Ray Liu, Wade Trappe, Z. Jane Wang, Min Wu, and Hong Zhao, Multimedia Fingerprinting Forensics for Traitor Tracing, EURASIP Book Series on Signal Processing and Communications, Hindawi Publishing Corporation, New York, 2005. Frank Y. Shih, Multimedia security: watermarking, steganography, and forensics, CRC Press, 2012. Chang-Tsun Li, Ed., Multimedia Forensics and Security ,Information Science Reference, Hershey, New York, 2009. Ho, A. T., and Li, S., Eds., Handbook of digital forensics of multimedia data and devices, John Wiley & Sons, 2015.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures, exercises and student assignments.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	40
Practical lessons		0	Oral examination	0
Projects		0
Colloquia		30
Seminars		30