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 | ||||
| URL to the subject page | http://telit.etf.rs/kurs/forenzika-video-signala/ | |||
| URL to lectures | https://teams.microsoft.com/l/team/19%3A5DwWlcEySnS55LOPZIJvcsvyy9uZQbCstuJTdRcxLfM1%40thread.tacv2/conversations?groupId=e2801335-bb6b-4ca9-9722-8010339a69a6&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba | |||
| 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 | ||||
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| 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 | |||