Admission requirements
Not applicable.
Description
Multimedia systems is a wide and diverse area. In this course we focus on the scientific view of multimedia systems as presented in top major conferences and journals and we provide advice, support and guidance for a final project that will be distributed (or placed online) to the public.
The intention is to focus on current research trends such as social computing, speech recognition, robotics, and computer vision and gain insight into what is novel from a modern scientific perspective. From a practical standpoint, the technologies may be areas where the student will do further research, take in-depth courses in the specific area (i.e. Speech Understanding) or be used as components for future multimedia systems.
This is a masters level course, where instead of having only lectures and an exam, we have a combination of lectures and student presentations and novel programming projects. Two projects which emphasize the students vision on future multimedia technologies are mandatory: (1) In the future vision video project, the student is expected to show their own vision on how multimedia technology will effect society in the future. (2) In the final project, the students create a working prototype of a novel multimedia system based on thier own vision and interests. In summary, we show you the diverse landscape of multimedia technology as a broad foundation, and based on that foundation you develop your own interests and vision. We will discuss the following topics in multimedia systems: speech recognition, social computing, robotics, computer vision & machine learning (OpenCV, CUDA), video understanding & retrieval, and biometrics & face recognition.
Course objectives
At the end of the Multimedia Systems course, the student should be able to
understand how scientific researchers view multimedia systems.
have insight into the state-of-the-art in the prominent areas of scientific multimedia research including social computing, advanced Internet technologies, speech recognition, robotics, computer vision, video tracking, and biometrics.
have insight into building a multimedia system from diverse core technologies.
have insight into the challenges and limitations of current multimedia systems.
scientifically evaluate a multimedia system.
develop skills in writing scientific reports
build a prototype multimedia system.
Timetable
The most recent timetable can be found at the students' website.
Mode of instruction
lectures
seminar
student discussions
presentations
homework and software assignments
Course load
Total hours of study: 168 hrs.
Lectures/Presentations: 20:00 hrs.
Programming: 100:00 hrs.
Student Presentations: 12:00 hrs.
Other 36:00 hrs.
Assessment method
The final grade is composed of (1) Multimedia Project (60% of grade), (2) Future Vision Project (10% of grade), (3) Student Presentations, Class Discussion, Problem Sets (30% of grade).
Late submissions will incur -1 per day penalty. For every assignment, to receive credit, each student must submit their own answer whether they are working alone or in teams (2 people on a team means 2 submissions).
Class discussion is important and is included as part of the grade.
The teacher will inform the students how the inspection of and follow-up discussion of the exams will take place.
Reading list
Research papers from recent ACM conferences and journals.
Registration
- You have to sign up for courses and exams (including retakes) in uSis. Check this link for information about how to register for courses.
Contact
Lecturers: dr. Michael Lew & dr. Erwin Bakker
Website: Multimedia Systems