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052613 VU Multimedia Retrieval and Content-Based Search (2018W)
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 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]