|Website:||website containing additional information|
|Period:||period 1 (week 36 through 45, i.e., 4-9-2017 through 10-11-2017; retake week 1)|
|Participants:||up till now 44 subscriptions|
|Schedule:||Official schedule representation can be found in Osiris|
|Note:||No up-to-date course description available.|
Text below is from year 2016/2017
|Contents:||Multimedia retrieval is about the search for and delivery of multimedia documents: images, sound, video, 3D scenes, and the combination of these. This course deals with techniques, algorithms, and data structures for search query formulation, media description, matching of descriptions, indexing, visualization of retrieval results, relevance feedback, etc. However, the main goal is to become aware of the similarities and differences between several types of media and how to handle this.|
Eidenberger, H. (2012). Handbook of Multimedia Information Retrieval. Vienna, Austria: atpress. ISBN: 978-3-848-22283-4.
|Course form:||The course consists of lectures, compulsory work groups, presentations, and a project.|
A written exam about the topics of the lectures (40%) and project (60%).
To pass the course, the weighted average of your exam and project has to be at least 5.6 and the grades of the exam and the project each have to be at least 4.0.
|Minimum effort to qualify for 2nd chance exam:||To qualify for the retake exam, the grade of the original must be at least 4.|
|Description:||This course has three main objectives: