Data and Knowledge Engineering Group

Multimedia Retrieval

On this page you find information about the course "Multimedia Retrieval", which is given by Andreas Nürnberger in summer term 2013. This page will be updated regularly throughout the semester.

General Information

Multimedia Retrieval (MIR) considers information search in non or less structured multimedia data sets. Examples for applications are web search engines, digital libraries and multimedia archives like music, picture or video data bases. As part of this course the basic MIR concepts will be introduced and discussed based on diverse application examples. Since the content based search is important, also different methods for representing and indexing content of texts and multimedia objects will be presented.

Requirements for Participation in the Final Exam

There will be exercise sheets for the exercises. You need to "vote" for exercise tasks. By "voting" for a task the student shows that she / he is able to present this task in front of the class. (Possible solutions will be discussed. They do not need to be correct. However, we expect that the "voter" is well prepared and is able to present at least an initial solution in front of the class.) The tasks will be split up into 2 groups: programming tasks and other tasks. The programming tasks will be marked as such.

The requirements for participation in the final exam (oral or written) are:

at least 66% of all programming points,
at least 66% of votes for all other exercise tasks and
at least one time presentation of a solution in front of the class.

The requirements for the "Schein" (without a mark) are pass of a short colloquium of approximatly 10 minutes or pass of the written exam at the end of the semester. (If an oral or written exam is offered will be announced on this page.)

Dates and Rooms

	Time	Start	Room
Lecture	Tu, 15:15-16:45 o'clock	09.04.2013	G05-211
Exercise	Tu, 09:15-10:45 o'clock	16.04.2013	G22A-210
Exercise	Th, 11:15-12:45 o'clock	18.04.2013	G22A-113

Further information about the lecture and exercise can be found in the LSF portal.

Teaching Staff

If you have any questions about the lecture or the exercises, please contact us via e-mail:

Lecture:

Andreas Nürnberger
e-mail: andreas.nuernberger@ovgu.de

Exercise:

Michael Kotzyba
e-mail: michael.kotzyba@ovgu.de

Materials

Lecture Slides

Exercise Sheets

Exercise 01 (until 16./18.04.2013)
Exercise 02 (until 23./25.04.2013)
- programming evaluation
Exercise 03 (until 30.04./02.05.2013)
Exercise 04 (until 14./16.05.2013)
Exercise 05 (until 21./23.05.2013)
Exercise 06 (until 28./30.05.2013)
Exercise 07 (until 04./06.06.2013)
Exercise 08 (until 18./20.06.2013)
Exercise 09 (until 02./04.07.2013, also see "Additional Material" below)
Exercise 10 (optional, until 02./04.07.2013)
Assignment for the programming task P02 (until 17.06.2013)
- also see "Additional Material" below
- programming evaluation

Additional Material

Literature

Ähnlichkeitssuche in Multimedia-Datenbanken
Ingo Schmitt
Oldenbourg Wissenschaftsverlag GmbH, München, 2005.
Modern Information Retrieval
Ricardo Baeza-Yates and Berthier Ribiero-Neto
Addison Wesley, 1999.
Foundations of Statistical Natural Language Processing
Chris Manning and Hinrich Schütze
MIT Press, Cambridge, MA, 1999.
Information Retrieval: Data Structures and Algorithms
William B. Frakes and Ricardo Baeza-Yates
Prentice-Hall, 1992.
Soft Computing in Information Retrieval
Fabio Crestani and Gabriella Pasi
Physica Verlag, 2000.

Links to other Web Pages

Information Retrieval book by C. J. van Rijsbergen
Information Retrieval journal, Kluwer
ACM Special Interest Group on Information Retrieval