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University of Florida
Department of Electrical and Computer Engineering
This course introduces fundamental technologies for video communications and networking. We will address 1) how to efficiently represent and process video signals, and 2) how to deliver video signals over networks. Topics to be covered include: introduction to video systems, Fourier analysis of video signals, properties of the human visual system, motion estimation, basic video compression techniques, video communication standards, and video transport over the Internet and wireless networks.
Dr. Dapeng Wu
Office: NEB 431
Email: wu@ece.ufl.edu
Vignesh Krishnan
Email: vigneshk@ufl.edu
Monday, Wednesday, Friday, period 2 (8:30 am - 9:20 am)
CHE 237
The course consists of 39 lectures, 5 homework assignments, 1 project, and 1 exam.
This course is primarily a lecture course. I cover all important material in lectures. Since EEL 3135 and EEL 5544 are prerequisites, I assume some previous knowledge about DSP, probability theory and stochastic processes, and hence I will cover some material very quickly. Thus, depending on what and how much you recall from earlier study, varying amounts of reading in introductory books on DSP, probability theory and stochastic processes (other than the course textbook) may be necessary; these readings are up to the student. I will only give reading assignments from the course textbook.
Attending lecture is quite important as I may cover material not available in any book easily accessible to you. I use Powerpoint presentation during lecture. Lecture notes will be posted on the course website before the class. The lecture is to engage the students in independent thinking, critical thinking, and creative thinking, help the students organize the knowledge around essential concepts and fundamental principles, and develop conditionalized knowledge which tells them when, where and why a certain method is applicable to solving the problem they encounter.
I do not intend for the WWW material to be a substitute for attending lecture since engaging the students in active thinking, making logical connections between the old knowledge and the new knowledge, and providing insights are the objectives of my lecture. The lecture notes are posted on the web so that you can miss an occasional lecture and still catch up, and it makes taking notes easier. To reward those who attend regularly, there will be some lecture-based material in the exam which is not available via the web.
Some problems in the exam will be similar to those in the homework. As long as you work out the homework by yourself, you will be successful in the exam. The problems in the exam are designed to prevent the students from memorizing the homework solutions without understanding the fundamental principles, concepts, and theories. So, to prepare the exam, the first thing is to understand the material; then use the homework problems to test your understanding.
The class project is described here.
Upon the completion of the course, the student should be able to
Please find handouts here.
All students admitted to the University of Florida have signed a statement of academic honesty committing them to be honest in all academic work and understanding that failure to comply with this commitment will result in disciplinary action. This statement is a reminder to uphold your obligation as a student at the University of Florida, and to be honest in all work submitted and exams taken in this class and all others. Refer to the academic honor code for more information.
Students are encouraged to discuss class material in order to better understand concepts. All homework answers must be the author's own work. However, students are encouraged to discuss homework to promote better understanding. What this means in practice is that students are welcome to discuss problems and solution approaches, and in fact can communally work solutions at a board. However, the material handed in must be prepared starting with a clean sheet of paper (and the author's recollection of any solution session), but not refer to any written notes or existing code from other students during the writing of the solution. In other words, writing the homework report shall be an exercise in demonstrating the student understands the materials on his/her own, whether or not help was provided in attaining that understanding.
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| Grades | Percentage | Dates |
|---|---|---|
| Homework | 25% | See the course calendar |
| Final exam | 40% | Dec. 13 |
| Project proposal | 5% | Oct. 29 |
| Project presentation | 15% | See the course calendar |
| Project report | 15% | Dec. 10 |
The class project will be done in a group of at most four members. Each project requires a proposal, classroom presentation and a final report. The final report is expected to be in the format of a conference paper. On Oct. 29, the project proposal (up to 2 pages) is due. Your group will give a 30-minute oral presentation by the end of the course. On Dec. 10, the final report (up to 10 pages) is due. For details about the project, please read here.
Suggested topics for projects are listed here.
Course calendar can be found here.
Related courses in other schools:
Johns Hopkins University, Image Compression and Packet Video
Polytechnic University, Video Processing
Purdue University, Digital Video Systems
Stanford University, Digital Video Processing
University of California, Berkeley, Multimedia Signal Processing, Communications and Networking
University of Maryland, College Park, Digital Image Processing
University of Maryland, College Park, Multimedia Communication & Information Security: A Signal Processing Perspective
Standards:
ATSC (Advanced Television Systems Committee) & HDTV (High Definition Television):
MPEG (Moving Picture Experts Group):
Software:
Compression link: http://cchen1.et.ntust.edu.tw/compression/compression.htm
Elsevier
IEEE
Kluwer
SPIE