Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

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Multimedia retrieval

Website:website containing additional information
Course code:INFOMR
Credits:7.5 ECTS
Period:period 1 (week 36 through 45, i.e., 4-9-2017 through 10-11-2017; retake week 1)
Timeslot:C
Participants:up till now 44 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
lecture   Tue 13.15-17.0037-40 BBG-065 Egon van den Broek
 
41 BBG-161
42-44 BBG-065
Thu 9.00-10.4536 HFG-611AB
37-42 BBG-161
43-44 BBG-205
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.
Literature:Eidenberger, H. (2012). Handbook of Multimedia Information Retrieval. Vienna, Austria: atpress. ISBN: 978-3-848-22283-4.

The book can be ordered at A-Eskwadraat. Alternatively, order the book via Amazon.com or bol.com.

Course form:The course consists of lectures, compulsory work groups, presentations, and a project.
Exam form:

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:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.
Description:This course has three main objectives:
  1. During a number of initial lectures, a critical amount of knowledge is provided about multimedia retrieval: 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.
  2. In order to experimentally evaluate various techniques, a practical assignment is done, involving the implementation of a retrieval method, and the assessment of the retrieval performance.
  3. Training in conducting scientific research, going from defining a verifiable research question to reporting the research's results in the form of an article. The aim is to extent the current state-of-the-art. As such, the course also prepares you for your MSc graduation project.
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