Multimedia Information Retrieval
|Period:||Semester 2||Hours of study:||26:00 hrs|
- Yes Elective choice
- Yes Contractonderwijs
- Yes Exchange
- Yes Study Abroad
- No Evening course
- No A la Carte
- No Honours Class
The student should have taken a course in image processing and be fluent in C/C++ programming.
Extending beyond the borders of culture, art, and science, the search for digital information is one of the major challenges of our time. Digital libraries, bio-computing & medical science, the Internet, streaming video, databases, cultural heritage collections and peer-2-peer networks have created a worldwide need for new paradigms and techniques on how to browse, search, and summarize multimedia collections. Examples of multimedia would be X-Ray and MRI scans, general photos, and video. This course focuses on the area of searching and retrieving multimedia information from digital databases and collections.
At the end of the Multimedia Information Retrieval course, the student should be able to
- understand the fundamental principles of information retrieval
- analyze an information retrieval system with regard to strengths and weaknesses and potential areas for improvements
- explain the differences between modern search engines and database systems.
- have insight into traditional and state-of-the-art multimedia features
- have insight into scientifically evaluating an information retrieval system
- have insight into the integration of intelligent algorithms into the retrieval process
- have insight into the limits and challenges of modern multimedia information retrieval systems
- build a modern multimedia information retrieval system which addresses contextual requirements.
The most recent timetable can be found at the students' website
Mode of instruction
- student discussions
- homework and software assignments
The final grade is composed of
(1) 50% for Paper Presentation/Seminar (class participation & questions & homework).
(2) 50% for Software Assignments (25%) & Final Project (25%).
Assignments turned in late: grade penalty of -1 per 24 hours (1 day)
Source code for assignments must include instructions for compiling and execution in the machines in rooms 302, 303. This is necessary for grading/evaluating the work by the class organizers.
As this is a seminar, attendance is mandatory
University Leiden students do a presentation and workshop/project for 6 ECTS.
TU Delft students only do the presentation for 3 ECTS.
- Reading: Principles of Visual Information Retrieval, M. S. Lew, Springer, 2001, ISBN: 978-1-85233-381-2
- Research papers from recent ACM conferences and journals
You have to sign up for classes and examinations (including resits) in uSis. Check this link for more information and activity codes.
|Is part of||Programme type||Semester||Block|
|Computer Science: Advanced Data Analytics||Master||2|
|Computer Science: Data Science||Master||2|