EE392J: Digital Video Processing

Course Overview

This advanced graduate-level course will cover the fundamentals of digital video processing. Coverage includes spatio-temporal sampling, motion analysis, filtering and general video processing (restoration, superresolution, frame-rate conversion, and deinterlacing) and compression (frame-based and object-based methods). A number of advanced topics will be covered including streaming video, error-resilient video coding, digital television, and compressed-domain video processing.

Instructors

John Apostolopoulos, Ph.D.  (2/3)
     Email: japos@hpl.hp.com
     Phone: 857-4416
     Office Hours: Fridays 3 - 4 pm, after class, and some Tuesdays 2-3:30, Packard Room 253.
Susie Wee, Ph.D.  (1/3)
     Email: swee@hpl.hp.com
     Phone: 857-7585
     Office Hours: Fridays 3 - 4 pm, after class, and some Tuesdays 2-3:30, Packard Room 253.

Teaching Assistant

Hareesh Kesavan
    Email: hkesavan@ise.stanford.edu
    Office:  Packard 066 (ISE Lab)
    Office hours:  Tuesdays and Thursdays, 2 - 4 pm.

Lectures

Winter quarter, Monday and Wednesday, 4:15-5:30pm, Room 380-380Y.  The room location can be found here.

Course Outline

An overview of the topics covered is given in the Course Outline. There may also be one or two invited lectures on emerging topics in digital video processing given by experts on those topics.  The Course Schedule lists the topics of each lecture.

Prerequisites

This course is intended for graduate students with a strong background in digital signal processing and some background in either image processing or computer vision. If you have no prior background in image processing or computer vision, then permission of the instructor is required.

Problem Sets

Problem sets will be issued approximately once a week, with smaller problem sets toward the end of the quarter when students will be working on their final projects. A few of the problem sets will involve Matlab-based development and simulation of various video processing algorithms.

Problem sets and class handouts will be distributed in class.  Extra copies can be picked up after class from Charlotte Coe in Packard Room 259.  Problem sets can also be accessed here.

Final Project

An important element of this course is the final project where the students, working individually or as part of a team, will work on a problem in digital video processing. A list of possible final projects, as well as other relevant information, is given in the Projects webpage. 

This term's Student Final Projects (Winter Quarter, 2000). 

Grading

25% Problem Sets (exercises and lab assignments)
35% Midterm Exam
40% Final Project

Textbook

The required text for the class is "Digital Video Processing" by M. Tekalp (Prentice Hall, 1995, ISBN 0-13-190075-7).  However, a number of emerging topics will be discussed that are not covered in the text. Class attendance is highly recommended.

A list of corrections for the text book is available.

Additional References

Email List

The course has an e-mail list which may be subscribed to by sending an e-mail to majordomo@lists.stanford.edu with the line "subscribe ee392j" in the BODY of the message.