Announcements

4/24/2006: Final presentations are Friday, May 12, in the Jasmine lab from 10am-1pm.

3/20/2006: You should have all received account information for project 3 through email.

3/20/2006: Project 4 is already posted for those who would like to take a look at the project before we begin.

3/13/2006: As mentioned in lab, your development plan is due Wednesday, 3/29. Please feel free to talk to us for help with refining your ideas. Projects from previous semesters are posted under "Archive".

3/13/2006: Some slides on JPEG compression from a previous semester are posted under "Project 3". These might help you get started on the JPEG portion of your project. Once again, project 3 is due Friday, 3/31, at 9 am.

Syllabus

Course Description

ENEE408G is an introductory course on multimedia signal processing bringing real-world design experience to students using state-of-the-art multimedia software and hardware. Each week there will be one 75-minute lecture and a three-hour design lab. Lectures will provide basic theories and principles on multimedia compression, processing, communications, security, and recognition.

Instructor

Prof. Shihab Shamma, sas@isr.umd.edu
Office: AVW 2203, Phone: 301.405.6842, URL: www.ee.umd.edu/faculty/sas.html

Teaching Assistant

Steve Tjoa, kiemyang@umd.edu
Office: KIM 2211, Phone: 301.405.5838, URL: www.wam.umd.edu/~kiemyang

Location

Lecture: Wednesday, 11:00am - 12:15pm, CSI 1122
Lab (sec 0102): 9:00am - 12:00pm, AVW 2446
Lab (sec 0101): 1:00pm - 4:00pm, AVW 2446

Prerequisite

ENEE425 or 420 or with instructor’s approval; programming skills in MATLAB and C/C++.

Lab Design Projects

There are four design labs elements on fundamental multimedia issues employing the state-of-the-art technologies on signal processing for speech, audio, image, and video.

1. Speech Processing and Recognition. Speech analysis, coding, synthesis, recognition, and speech-enabled human-computer interface.
2. Digital Audio and Information Security. Perceptual audio compression, watermarking, synthetic audio, and digital rights management.
3. Image Processing and Digital Photography. Color coordinates, visual perception, image enhancement and compression, and digital photograph.
4. Digital Video and Multimedia Communications. Video capturing, motion estimation/compensation, video codec, content-based indexing and database, scene change detection, and video conferencing.

Final Design Project

This is a team-based project on designing and implementing multimedia signal processing systems. Each student team will emulate a high-tech company that performs the following tasks:

• develop ideas of a multimedia product and decide on system specifications
• partition and coordinate the design tasks within the team
• implement, test, and document the design
• demonstrate and market the product

Grading

• Design Projects: 40%
• Final Project: 45%
• Quizzes, Class Participation: 15%

Academic Integrity

Academic dishonesty will not be tolerated. The University Code of Academic Integrity, which can be found at www.inform.umd.edu/CampusInfo/Departments/JPO, prohibits students from committing the following acts of academic dishonesty: cheating, fabrication, facilitating academic dishonesty, and plagiarism. Academic dishonesty in this class includes outright copying on homework; however, discussing homework problems and exchanging tips is permissible and also encouraged. If there are any take-home exams, discussing the material with anyone, inside or outside of the class, is considered academic dishonesty. Instances of academic dishonesty will be referred to Office of Judicial Programs.