Universität Wien FIND

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

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

Moodle

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

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.

Please note the following recommendation for taking this course:
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]

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: Tu 04.09.2018 20:47