Students: In general I respond to emails within 48 hours. If you do not get a response, please resend the email - Dr. Lew
It is necessary to register on the LML Course Manager:
LML Course Manager, tron.liacs.nl
Joint Leiden University & TU Delft BioInformatics Course (IN4174)
Period: Wednesdays, 8 Feb 2012 - 9 May 2012
Time: 13:45 - 15:30
Place: Rm. 405
Organizer:
Dr. Michael S. Lew, (Lecturer) email: mlew@liacs.nl (Email to make an appointment)
Abstract:
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 techiques on how to browse, search, and summarize multimedia collections.
This course focusses on the area of searching and retrieving multimedia information from digital databases and collections. Examples of multimedia would be X-Ray and MRI scans, general photos, and video.
Requirements: Willingness to learn or already know C, C++ programming languages
Grading:
- 50% for Presentation & Questions (class participation).
- 50% for Software Project.
As this is a seminar, attendance is mandatory
- 6 EC for
Leiden University Students (presentation and software project)
- 3 EC for TU Delft Students (presentation only); It is possible for
Delft students to do the project also.
Class Project
to be announced
Recommended Reading: Principles of Visual Information Retrieval, M. S. Lew, Springer, 2001, ISBN: 978-1-85233-381-2
Suggestions for class presentations
- Introduce the problem and main idea - Explain the motivation for
the paper
- Cover the main points of the algorithm
- Make sure you have a slide which clearly states the main contribution
of the paper at the end
- There should be a little humor in
the presentation to make it interesting for the audience
Schedule:
Class 1: 8 Feb - Introduction to Multimedia Information Retrieval
Class 2: 15 Feb - Color, Texture, Shape, and Salient Points
Class 3: 22 Feb - Similarity and Ranking
Class 4: 29 Feb - Advanced Methods
Class 5: 7 Mar - no class
Class 6: 14 Mar - Research Paper Presentations
Class 7: 21 Mar - Research Paper Presentations
Class 8: 28 Mar - Research Paper Presentations
Class 9: 4 April - Research Paper Presentations
Class 10: 11 April - Research Paper Presentations
Class 11: 18 April - Discussion
Class 12: 25 April - no class
Class 13: 2 May - Class Projects
Class 14: 9 May - Class Projects