CMPE 163:   Multimedia Processing and Applications

Winter 2004

Description

This course introduces the basic concepts and techniques in multimedia systems. The emphasis of this course is on the acquisition, processing, and transmission of various forms of digital media including image, video, audio, 3D graphics, and text.

Topics

1.  Introduction to multimedia processing and applications. Multimedia and the Internet

2.  Basic concepts in signal processing: FFT, frequency domain analysis, and filtering.

3.  Digital image processing acquisition, representation, and transformation

4.  Digital image enhancement and analysis

5.  Digital image compression – lossless and lossy methods (JPEG, JPEG2000)

6.  Analog and digital video systems, digital video acquisition and representation

7.  Digital video compression standards (MPEGs and H.263) and applications (DVD, HDTV, streaming videos)

8.  Analog and digital audio, representation, compression, and speech recognition

9.  Other forms of digital media: text, graphics and animation media (VRML, streaming 3D content)

Reference books

1. Multimedia Fundamentals, Vol.1: Media Coding and Content Processing Steinmetz and Nahrstedt, Prentice Hall, 2002

2. Gonzalez and Woods, Digital Image Processing, Second Edition, Prentice Hall, 2002.

3. Y. Wang, J. Ostermann, Y. Zhang, "Video Processing and Communications", Prentice Hall, 2002

Instructor’s notes

           Lecture 1

           Lecture 2-3, FT Table

           Lecture 4a, Lecture 4b

           Lecture 5

           Lecture 6a, Lecture 6b

           Lecture 7

           Lecture 8

           Lecture 9

           Lecture 10

           Lecture 11

           Lecture 12

           Lecture 13 

           Lecture 14

           Lecture 15

           Lecture 16

           Lecture 17

Final Exam:

Time and Place:

TuTh   10:00 a.m. - 11:45 a.m.,   Baskin Engineering 372

Instructor:

Hai Tao (http://www.soe.ucsc.edu/~tao/)
Email:   tao@soe.ucsc.edu
Office:  Baskin Engineering  309A

Evaluation: Coursework will be weighted as follows

Homework   30%
Midterm       30%
Final            40%

Homework: Homework will be collected every two weeks on Thursday at the end of the class.

HW1, HW2, HW3

Projects:

Useful links:

                        1.  MATLAB tutorials at http://www.che.lsu.edu/links/computing/tutorials/matlabt.htm