Multimedia Security 2017/2018

Detailed information

Most recent entry on 2018-02-05 

Faculty

Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

Recording type

Vorlesungsreihe

Via

Free

Language

English

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.

 

Empfohlene Literatur
  • 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.

 

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 of C++ (nothing fancy, but "reasonable working skills")
Here are a few questions for self-assessment on the image processing part:
  • What is a Fourier transform, and why is it interesting for image processing?

  • What is the Bayes rule?

  • Write down a filter kernel for high-pass filtering of an image.

Here are a few questions for self-assessment on the C++ part:

  • What is the difference of a pointer and a reference?

  • How can I define an inherited class in C++?

  • When do I need to implement a copy constructor?

  • What are the meanings of the keyword "const"?

 

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

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Multimedia Security
Dr. Christian Riess
2017-10-16
Free
00:49:26
2
Multimedia Security
Dr. Christian Riess
2017-10-30
Free
01:27:30
3
Multimedia Security
Dr. Christian Riess
2017-11-06
Free
01:27:26
4
Multimedia Security
Dr. Christian Riess
2017-11-13
Free
01:09:01
5
Multimedia Security
Dr. Christian Riess
2017-11-20
Free
00:23:52
6
Multimedia Security
Dr. Christian Riess
2017-11-27
Free
01:22:45
7
Multimedia Security
Dr. Christian Riess
2017-12-04
Free
01:20:06
8
Multimedia Security
Dr. Christian Riess
2017-12-11
Free
01:23:44
9
Multimedia Security
Dr. Christian Riess
2017-12-18
Free
01:25:22
10
Multimedia Security
Dr. Christian Riess
2018-01-08
Free
01:29:01
11
Multimedia Security
Dr. Christian Riess
2018-01-22
Free
01:30:16
12
Multimedia Security
Dr. Christian Riess
2018-02-05
Free
01:36:51

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