Universität Wien
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052613 VU Multimedia Retrieval and Content-Based Search (2021W)

Prüfungsimmanente Lehrveranstaltung
GEMISCHT

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

UPDATE 20. Nov 2021: No change in the implementation mode of the course starting November 22nd, 2021 (lockdown)

  • Dienstag 05.10. 13:15 - 14:45 Digital
  • Freitag 08.10. 09:45 - 11:15 Digital
  • Dienstag 12.10. 13:15 - 14:45 Digital
  • Freitag 15.10. 09:45 - 11:15 Digital
  • Dienstag 19.10. 13:15 - 14:45 Digital
  • Freitag 22.10. 09:45 - 11:15 Digital
  • Freitag 29.10. 09:45 - 11:15 Digital
  • Freitag 05.11. 09:45 - 11:15 Digital
  • Dienstag 09.11. 13:15 - 14:45 Digital
  • Freitag 12.11. 09:45 - 11:15 Digital
  • Dienstag 16.11. 13:15 - 14:45 Digital
  • Freitag 19.11. 09:45 - 11:15 Digital
  • Dienstag 23.11. 13:15 - 14:45 Digital
  • Freitag 26.11. 09:45 - 11:15 Digital
  • Dienstag 30.11. 13:15 - 14:45 Digital
  • Freitag 03.12. 09:45 - 11:15 Digital
  • Dienstag 07.12. 13:15 - 14:45 Digital
  • Freitag 10.12. 09:45 - 11:15 Digital
  • Dienstag 14.12. 13:15 - 14:45 Digital
  • Freitag 17.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Freitag 07.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Dienstag 11.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 14.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Dienstag 18.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 21.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Dienstag 25.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Freitag 28.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The aim of this lecture is to support attendees in understanding, applying, and developing (content-based) information retrieval models and techniques, with a special focus on content-based retrieval for multimedia contents.

Please note the following recommendation 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 Master Program]
(MST) Multimedia and Semantic Technologies [recommended to be taken in Master Program]

!! NOTE: Due to SARS CoV-2, this course will take place in some hybrid form. Course units are held online, exams are to take place on-site.
All organizational adjustments due to regulations wrt the SARS CoV-2 crisis will be announced in writing for you as participants of the course in Moodle and also sent via e-mail.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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

Prüfungsstoff

All the topics covered by the course.

Literatur

Lecture Slides.
Required and recommended readings listed at the end of each chapter.
Selected Chapters of Manning et al. "Introduction to Information Retrieval", available at: http://nlp.stanford.edu/IR-book/information-retrieval-book.html
Additional papers will be available through Moodle.

Zuordnung im Vorlesungsverzeichnis

Module: MRS MM2

Letzte Änderung: Fr 12.05.2023 00:13