Universität Wien

052612 VU Multimedia Representation and Encoding (2025W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Prüfungsimmanente Lehrveranstaltung
Moodle
Do 11.12. 15:00-16:30 Hörsaal 3, Währinger Straße 29 3.OG

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Participation in the first course unit is mandatory!

  • Donnerstag 02.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 06.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 09.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 13.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 16.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 20.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 23.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 27.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 30.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 03.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 06.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 10.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 13.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 17.11. 09:45 - 11:15 Seminarraum 3, Währinger Straße 29 1.UG
  • Donnerstag 20.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 24.11. 09:45 - 11:15 Seminarraum 8, Währinger Straße 29 1.OG
  • Donnerstag 27.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 01.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 04.12. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 15.12. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
    Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 18.12. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Donnerstag 08.01. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 12.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 15.01. 15:00 - 16:30 Hörsaal I NIG Erdgeschoß
    Seminarraum 5, Währinger Straße 29 1.UG
  • Montag 19.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 22.01. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
  • Montag 26.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
  • Donnerstag 29.01. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This lecture aims at understanding fundamental concepts, methods, and technologies for the
development of multimedia information systems and multimedia applications.
The course will cover concepts and technologies for the encoding and representation of digital content. This includes the fundamentals of images/graphics, audio (including speech, music), video, related lossless and lossy compression algorithms based on various standards, as well as advanced audio and video technologies needed for an efficient encoding.
The course consists of (i) a conceptual part, where the concepts and theoretical background are introduced, and (ii) a practical part, consisting of a total of three assignments.
Students are expected not only to understand the concepts but also to be able to apply the concepts, methods, and technologies and to use these to implement systems and applications.

Please note the following recommendations for taking this course:
Take these courses first:
*(MRE) Multimedia Representation & Encoding [recommended to be taken in Bachelor Program]
(MCM) Multimedia Content Management [recommended to be taken in Bachelor Program]

Then take these courses after the ones mentioned above:
(MRS) Multimedia Retrieval and Content-Based Search [recommended to be taken in the Master Program]
(MST) Multimedia and Semantic Technologies [recommended to be taken in Master Program]

The mode and format of this course may be subject to change after the registration deadline, depending on the actual total number of registrations.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Two written exams (tests) during the semester. No aids are allowed during the exam.
Three assignments are to be submitted throughout the semester,
each will be graded separately.
Grading will be based on
- the degree of completion of the assigned tasks
- the demonstrated understanding of the technologies and underlying concepts and theories.

The use of generative AI tools is generally not permitted unless you are explicitly asked to do so.
You must adhere to the » rules of academic integrity for this course (see download) in order to be assessed. Violation of these rules may result in assessment as a case of plagiarism.

Mindestanforderungen und Beurteilungsmaßstab

Gain a more profound and thorough understanding of the topics presented in the course.

The final mark is calculated based on the two written exams (each 20%) and the three assignments (assignment 1: 20%, assignment 2: 20%, assignment 3: 20%). In the context of each assignment, one can receive up to 4 bonus points per assignment, i.e., 12 bonus points in total.

To achieve positive grading, students
- must submit a solution for each project assignment, and
- need to reach at least 50% of the maximum points achievable over all assignments, and
- need to reach at least 50% of the maximum points achievable over all written exams, and
- need to be present at each assessment meeting for the assignments if requested.

Grading scale:
89% <= P <= 100% Sehr Gut (1)
76% <= P < 89% Gut (2)
63% <= P < 76% Befriedigend (3)
50% <= P < 63% Genügend (4)
0% <= P < 50% Nicht Genügend (5)

Prüfungsstoff

All the topics covered by the course.

Literatur

Lecture Slides.

Textbook: Fundamentals of Multimedia (2nd Edition)
Ze-Nian Li, Mark S. Drew, Jiangchuan Liu
Springer International Publishing 2014
DOI https://doi.org/10.1007/978-3-319-05290-8
Print ISBN 978-3-319-05289-2

Required and recommended readings listed at the end of each chapter.
Additional learning material may be available through Moodle.

Zuordnung im Vorlesungsverzeichnis

Module: MRE ITM

Letzte Änderung: Mi 12.11.2025 13:25