UnivIS
Informationssystem der Friedrich-Alexander-Universität Erlangen-Nürnberg © Config eG 
FAU Logo
  Sammlung/Stundenplan    Modulbelegung Home  |  Rechtliches  |  Kontakt  |  Hilfe    
Suche:      Semester:   
 Lehr-
veranstaltungen
   Personen/
Einrichtungen
   Räume   Forschungs-
bericht
   Publi-
kationen
   Internat.
Kontakte
   Examens-
arbeiten
   Telefon &
E-Mail
 
 
 Darstellung
 
Druckansicht

 
 
 Außerdem im UnivIS
 
Vorlesungs- und Modulverzeichnis nach Studiengängen

Vorlesungsverzeichnis

 
 
Veranstaltungskalender

Stellenangebote

Möbel-/Rechnerbörse

 
 
Einrichtungen >> Technische Fakultät (TF) >> Department Informatik (INF) >> Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen) >>

  Multimedia Security Exercises (MMSecEx)

Dozent/in
Dr.-Ing. Christian Riess

Angaben
Übung
2 SWS
Zeit und Ort: Do 18:00 - 20:00, 00.153-113 CIP

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 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"?

Inhalt
These are the exercises for the lecture "Multimedia Security". Participants will implement algorithms in C++, and experiment with their algorithms.

Empfohlene Literatur
  • Bruce Eckel: "Thinking in C++"

ECTS-Informationen:
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
These are the exercises for the lecture "Multimedia Security". Participants will implement algorithms in C++, and experiment with their algorithms.

Literature
  • Bruce Eckel: "Thinking in C++"

Zusätzliche Informationen
Schlagwörter: Steganography, Watermarking, Multimedia Forensics, Data Hiding
Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 30

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2019/2020:
Multimedia Security (MMSec)

UnivIS ist ein Produkt der Config eG, Buckenhof