Universität Wien

052613 VU Multimedia Retrieval and Content-Based Search (2017W)

6.00 ECTS (4.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

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).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 03.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 04.10. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 06.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 10.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 11.10. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 13.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 17.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 18.10. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 20.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 24.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 25.10. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 27.10. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 31.10. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Friday 03.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 07.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 08.11. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 10.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 14.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 15.11. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 17.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 21.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 22.11. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 24.11. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 28.11. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 29.11. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 01.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 05.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 06.12. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Tuesday 12.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 13.12. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 15.12. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 09.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 10.01. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 12.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 16.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 17.01. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 19.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 23.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 24.01. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG
  • Friday 26.01. 09:45 - 11:15 Hörsaal 3, Währinger Straße 29 3.OG
  • Tuesday 30.01. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
  • Wednesday 31.01. 09:45 - 11:15 PC-Unterrichtsraum 2, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

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.

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)

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.

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.

Association in the course directory

Module: MRS MM2

Last modified: Mo 07.09.2020 15:30