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13M031FVS - Video Forensics

Course specification
Course title Video Forensics
Acronym 13M031FVS
Study programme Electrical Engineering and Computing
Module
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition None
The goal Introducing of the main digital forensics principles in video signal. Acknowledgment of authenticity in the signal (fingerprinting).
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
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
  1. Chang-Tsun Li, Ed., Multimedia Forensics and Security ,Information Science Reference, Hershey, New York, 2009.
  2. 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.
  3. Frank Y. Shih, Multimedia security: watermarking, steganography, and forensics, CRC Press, 2012.
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