Admission requirements
The student should have taken a course in image processing and be fluent in C/C++ programming.
Description
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.
Course objectives
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.
Timetable
The most recent timetable can be found at the students' website
Mode of instruction
lectures
seminar
student discussions
presentations
homework and software assignments
Assessment method
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 are not required to do the final project for 3 ECTS.
Reading list
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
Registration
You have to sign up for classes and examinations (including resits) in uSis. Check this link for more information and activity codes.
Contact information
Lecturer: dr. Michael Lew
Website:Website