052613 VU Multimedia Retrieval and Content-Based Search (2018W)
Continuous assessment of course work
Labels
Registration/Deregistration
- Registration is open from Sa 08.09.2018 09:00 to Su 23.09.2018 23:59
- Deregistration possible until Su 14.10.2018 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
02.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
03.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
05.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
09.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
10.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
12.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
16.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
17.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
19.10.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
23.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
24.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Tuesday
30.10.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
31.10.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Tuesday
06.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
07.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
09.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
13.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
14.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
16.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
20.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
21.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
23.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
27.11.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
28.11.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
30.11.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
04.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
05.12.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
07.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
11.12.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
12.12.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
14.12.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
08.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
09.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
11.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
15.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
16.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
18.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
22.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
23.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Friday
25.01.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
29.01.
13:15 - 14:45
Hörsaal 2, Währinger Straße 29 2.OG
Wednesday
30.01.
09:45 - 11:15
PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
Two written tests during the semester,
three assignments to be submitted throughout the semester,
each will be graded separately.
Assignments not submitted will be graded with 0 points. Assignment 3 offers 10 additional bonus points for excellent solutions. Grading will be based on
- the completion of the assigned tasks
- the demonstrated understanding of the technologies and underlying theories.The final mark is calculated based on the two written test (each 20%) and the three assignments (each 20%).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)
three assignments to be submitted throughout the semester,
each will be graded separately.
Assignments not submitted will be graded with 0 points. Assignment 3 offers 10 additional bonus points for excellent solutions. Grading will be based on
- the completion of the assigned tasks
- the demonstrated understanding of the technologies and underlying theories.The final mark is calculated based on the two written test (each 20%) and the three assignments (each 20%).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)
Minimum requirements and assessment criteria
Gain a deeper and thorough understanding of the topics presented in the course.
To achieve a positive grading students
- 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 tests, and
- need to be present at each assessment meeting for the assignments as requested.
To achieve a positive grading students
- 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 tests, and
- need to be present at each assessment meeting for the assignments as requested.
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 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.
Association in the course directory
Module: MRS MM2
Last modified: Mo 07.09.2020 15:30
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]