13M031FVS - Video Forensics

Course specification
Course title		Video Forensics
Acronym		13M031FVS
Study programme		Electrical Engineering and Computing
Module		Audio and Video 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 of the main digital forensics priciples in video signal. Acknoledgment of authenticity in the signal (fingerpriting).
The outcome		Empowering of students to achieve the ability to recognize the collusions in video or still image or changes of the watermark, as well as any other change in original video content.
Contents
URL to the subject page		http://telit.etf.rs/kurs/forenzika-video-signala/
Contents of lectures		Description of the characteristics in 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
Chang-Tsun Li, Ed., Multimedia Forensics and Security ,Information Science Reference, Hershey • New York, 2009 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.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching
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
Colloquia		30
Seminars		30