052613 VU Multimedia Retrieval and Content-Based Search (2022W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 14.09.2022 09:00 to We 21.09.2022 09:00
- Deregistration possible until Fr 14.10.2022 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Note: As of September 11, all courses for this course are scheduled to take place on-site.
Tuesday
04.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
07.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
11.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
14.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
18.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
21.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
25.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
28.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Friday
04.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
08.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
11.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
15.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
18.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
22.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
25.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
29.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
02.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
06.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
09.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
13.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
16.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
10.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
13.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
17.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
20.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
24.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Friday
27.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
31.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
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.
Minimum requirements and assessment criteria
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)
Examination topics
All the topics covered by the course.
Reading list
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 literature/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 literature/papers will be available through Moodle.
Association in the course directory
Module: MRS MM2
Last modified: Th 29.09.2022 10:09
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: As of September 11, all classes for this course are scheduled 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.