Universität Wien

052613 VU Multimedia Retrieval and Content-Based Search (2023W)

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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Tuesday 12.12. 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.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
  • 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
  • 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
  • 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

Information

Aims, contents and method of the course

This lecture aims 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 content. The course covers fundamental topics on information retrieval techniques (including boolean retrieval concepts, term vocabulary and posting lists, tolerant retrieval concepts, scoring, term weighting and vector space model, query result evaluation and summarization, relevance feedback, basics on web search techniques, web crawling and indexing, link analysis) and advanced concepts for audio retrieval, content-based image retrieval, and video retrieval. The course will consist of (i) a conceptual part introducing the theoretical background and concepts as well as of (ii) a practical part with a total of three assignments.
Students are expected not only to understand the concepts but also to be able to apply the concepts, methods, and technologies and to use these to implement systems and applications.

Please note the following recommendations 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 examinations (tests) during the semester. No aids are allowed during the exam.
Three assignments are 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)

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.

Association in the course directory

Module: MRS MM2

Last modified: Fr 15.09.2023 18:07