Time: Tuesday, 4. DS (13:00-14:30)
Location: virtual / E006
Quantity: 2V/2√ú/0P SWS
Language: English/German


  • Enrollment: Please enroll to the OPAL course (see above) to get access to the course material. Before enrolling, please check whether the course is offered in modules of your degree program (see “Applicability” below) or clarify creditability if necessary.
  • Course start: The lecture starts on Tuesday Oct 12, 13:00 with a video conference in BigBlueButton (enrolled participants will find the link in the OPAL course).
  • Course schedule and material: The course material is accessible for enrolled participants in the OPAL course.


The number of digital documents and data to be managed is constantly growing in almost all application areas. It is a great challenge to organize this amount of data so that it can be accessed efficiently and on demand. Information retrieval (IR) concepts and technologies provide the basis for such solutions. A particular problem arises regarding the management of multimedia data and objects. These contain a multitude of complex structural and semantic information, which can be useful as descriptive features, but are sometimes difficult to grasp or ambiguously interpretable. Accordingly, the field of multimedia retrieval or multimedia information retrieval is more specifically dedicated to the challenges of multimedia data, especially images (content-based image retrieval) and videos (content-based video retrieval), as well as acoustic data, such as music (music information retrieval) and speech. In addition to the more technical algorithms and data structures that provide the basis for corresponding retrieval applications, the user is a very important factor. The research area “Human-Computer Information Retrieval” (HCIR) takes up this aspect and combines classical IR research with findings and concepts in the field of human-computer interaction.

The lecture is divided into three blocks, each building on the other:

  • Basics of Information Retrieval
  • Multimedia Information Retrieval (media-specific IR approaches)
  • Human-Computer Information Retrieval


  • Master Medieninformatik / Media Computer Science – INF-VMI-2a (6 CP)
  • Master / Diploma Informatik / Computer Science – INF-PM-ANW (9 CP)
  • Master Computational Modeling and Simulation – CMS-VC-ELV1/2, CMS-CLS-ELV (5 CP)

Lecture Notes

The lecture slides and videos will be available in a separate OPAL course (Link follows)


Written or oral examination (depending on study regulations)

Recommended Readings

Lists of literature recommendations can be found in the lecture slides.