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Deep Learning in Multimedia Forensics (DLMFor)- Person in charge
- PD Dr.-Ing. Christian Riess
- Details
- Praktikum
Präsenz
, ECTS studies, ECTS credits: 10, Sprache Englisch
Preliminary meeting: 28.10.2021, 16:00 - 18:00 Uhr
- Fields of study
- WF INF-BA-PR ab 3 (ECTS-Credits: 10)
WF INF-MA ab 1 (ECTS-Credits: 10)
WF AI-MA ab 1 (ECTS-Credits: 10)
- Prerequisites / Organisational information
- Participants must bring some practical experience in python.
Experience with the implementation of deep neural networks helps, but is not strictly necessary.
- Contents
- Subtle traces in the processing history of an image or video can provide a clue on the recording device, or whether some editing was applied. Multimedia forensics investigates methods to extract these traces from the data. Recent methods in multimedia forensics use deep learning to better adapt to data from the internet.
In this project, participants will gather practical experience with deep learning methods in multimedia forensics. Participants will implement published methods from scratch, and do own performance investigations on selected example inputs.
On the first meeting on October 28, groups of two students will be formed, and tasks will be distributed. During the project, there are regular consultation hours for status updates and programming support.
- ECTS information:
- Credits: 10
- Additional information
- Expected participants: 6, Maximale Teilnehmerzahl: 10
www: https://www.studon.fau.de/crs4138433.html
Registration is required for this lecture.
Die Registration via: StudOn
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2021/2022:
- Deep Learning in Multimedia Forensics (DLMFor)
- Department: Chair of Computer Science 1 (IT Security Infrastructures)
Courses
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