052612 VU Multimedia Representation and Encoding (2024W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 13.09.2024 09:00 bis Fr 20.09.2024 09:00
- Abmeldung bis Mo 14.10.2024 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 03.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 07.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 10.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 14.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 17.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 21.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 24.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 28.10. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 31.10. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 04.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 07.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 11.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 14.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 18.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 21.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- N Montag 25.11. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 28.11. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 02.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 05.12. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 09.12. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 12.12. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
-
Montag
16.12.
09:45 - 11:15
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 2, Währinger Straße 29 2.OG -
Donnerstag
09.01.
15:00 - 16:30
Hörsaal 3, Währinger Straße 29 3.OG
Hörsaal 33 Hauptgebäude, 1.Stock, Stiege 7 - Montag 13.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
-
Donnerstag
16.01.
15:00 - 16:30
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 3, Währinger Straße 29 3.OG - Montag 20.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 23.01. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
- Montag 27.01. 09:45 - 11:15 Hörsaal 2, Währinger Straße 29 2.OG
- Donnerstag 30.01. 15:00 - 16:30 Hörsaal 3, Währinger Straße 29 3.OG
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
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.
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)
- 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 978-3-319-05289-2Required and recommended readings listed at the end of each chapter.
Additional learning material may be available through Moodle.
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 978-3-319-05289-2Required 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: Di 17.09.2024 11:45
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]