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Einrichtungen >> Technische Fakultät (TF) >> Department Informatik (INF) >> Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen) >>
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Multimedia Security (MMSec)- Verantwortliche/Verantwortlicher
- PD Dr.-Ing. Christian Riess
- Angaben
- Vorlesung
Präsenz
2 SWS, Schein, Sprache Englisch
- Studienfächer / Studienrichtungen
- WPF INF-MA 1
WPF ICT-MA 1
- Voraussetzungen / Organisatorisches
- The majority of the methods are applications of signal processing. Thus, it is recommended to bring prior basic knowledge either in signal processing, pattern recognition, image processing, or related fields. Additionally, it is important to bring basic knowledge in programming, preferably in python.
- Inhalt
- Participants of this lecture obtain an overview of the field of Multimedia Security. This includes a variety of security-related questions around multimedia data. In particular, we present key results and techniques from image forensics, steganography, watermarking, and biometrics. Selected algorithms are implemented and tested by the participants. It is helpful to bring prior experience in signal processing or pattern recognition.
The lecture format will be an inverted classroom.
Everything will be coordinated via studon, please register for the class here: https://www.studon.fau.de/crs4073899_join.html
- Empfohlene Literatur
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A number of scientific publications will be provided as additional reading in the course of the lecture.
- ECTS-Informationen:
- Title:
- Multimedia Security
- Prerequisites
- The majority of the methods are applications of signal processing. Thus, it is recommended to bring prior basic knowledge either in signal processing, pattern recognition, image processing, or related fields. Additionally, it is important to bring basic knowledge in programming, preferably in python.
- Contents
- Participants of this lecture obtain an overview of the field of Multimedia Security. This includes a variety of security-related questions around multimedia data. In particular, we present key results and techniques from image forensics, steganography, watermarking, and biometrics. Selected algorithms are implemented and tested by the participants. It is helpful to bring prior experience in signal processing or pattern recognition.
- Literature
- Farid: "Photo Forensics"
Sencar, Memon: "Digital Image Forensics" Oppenheim, Schafer: "Discrete-Time Signal Processing"
A number of scientific publications will be provided as additional reading in the course of the lecture. - Zusätzliche Informationen
- Schlagwörter: Steganography, Watermarking, Multimedia Forensics, Data Hiding, Copyright Protection
Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 30
- Verwendung in folgenden UnivIS-Modulen
- Startsemester WS 2021/2022:
- Multimedia Security (MMSec)
Kurse
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