052613 VU Multimedia Retrieval and Content-Based Search (2021W)
Prüfungsimmanente Lehrveranstaltung
Labels
GEMISCHT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 13.09.2021 09:00 bis Mo 20.09.2021 09:00
- Abmeldung bis Do 14.10.2021 23:59
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
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.
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)
- 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.
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
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.