Information Sheet – EE6650 Video Signal Processing. National Tsing Hua ... Y.
Wang, et. al., Video Processing and Communications, Prentice Hall, 2002.
Information Sheet – EE6650 Video Signal Processing
National Tsing Hua University Department of Electrical Engineering EE6650 Video Signal Processing Fall 2013
Instructor: Office: Office Hour: Email:
Chao-Tsung Huang DELTA R929 Wed pm2:00-4:00
[email protected]
Prerequisites: Probability, Linear Algebra, Signals and Systems Course Description Digital video is everywhere nowadays and already accounts for more than 60% of all consumer internet traffic as of 2013. This course offers a graduate-level introduction to the fundamentals of video signal processing, especially on video coding and stereo applications. Both theoretical backgrounds and practical image/video coding formats will be covered.
Teaching Method Lectures are given with slides which will be available one week before each lecture. There will be four programming homework assignments and one term project. Oral presentation will be required for each project. At the end of each lecture, one Do-You-Know Easter Egg will be given to encourage participation.
Evaluation Homework (60%) – each assignment 15% Term Project (40%) – details to be disclosed Grading Rules: 1. One original work deserves only one credit. For example, if five students deliver the same (or very similar) programs for homework, the grades will be averaged by five. If the original work deserves 100 points, each one will get only 20 points. Rebuttal is allowed. 2. For homework, the grading equation for late delivery is New grade = (original grade)x0.9(delievery date – due date) 3. For term project, no late delivery is allowed.
Information Sheet – EE6650 Video Signal Processing
Syllabus Date
Topic
HW HW out due
9/17 L1: Introduction and Overview 9/24, 9/26, 10/1 L2: From Light to Your Eyes - Human Visual System and Color Space 1 Add Date 10/3, 10/8 Fundamentals of Video Coding L3: Part I - Entropy and Entropy Coding 10/15, 10/17 L4: Part II - Predictive Coding and Motion Compensation 2 10/22, 10/24 L5: Part III - Transform Coding and Fast DCT Implementation 10/29, 10/31 L6: Part IV - Quantization, In-Loop Filter, and Visual Quality Assessment 3 11/5, 11/7 L7: JPEG Standard 11/12, 11/14 L8: Hybrid Video Coding and Motion Estimation 4 11/19, 11/21 L9: Stereo 3D Applications and Multiview Video Coding 11/26, 11/28 L10: Disparity Estimation Drop Date 12/3, 12/5 L11: MPEG-1 (VCD) and MPEG-2 (DVD) 12/10, 12/12 L12: MPEG-4 and Its Variants (H.263/flv, RealVideo/rmvb, VC-1/wmv) 12/17, 12/19 L13: H.264/AVC, Part I - Algorithm and Application (from Blu-ray to YouTube) 12/24, 12/26 L14: H.264/AVC, Part II - Rate-Distortion Optimization Framework Term Project Proposal Due 12/31, 1/2 L15: H.265/HEVC - The Latest Video Coding Standard 1/7, 1/9 L16: Selected Topic: Light-Field Cameras and Novel Applications (optional) 1/14, 1/16 Term Project Report and Demo
1 2 3 4
Textbook None. References Lecture notes mainly based on:
Y. Wang, et. al., Video Processing and Communications, Prentice Hall, 2002.
C. Poynton, Digital Video and HD: Algorithms and Interfaces, 2nd edition, Morgan Kaufmann, 2012.
S. Winkler, Digital Video Quality: Vision Models and Metrics, Wiley, 2005.
C. Shannon, "A Mathematical Theory of Communication," The Bell System Technical Journal, 1948.
R. J. Clarke, Transform Coding of Images, Academic Press, 1985.
E. Richardson, The H.264 Advanced Video Compression Standard, 2nd edition, Wiley, 2010.
M. Tekalp, Digital Video Processing, Prentice Hall, 1995.
Y. Q. Shi, et. al., Image and Video Compression for Multimedia Engineering, CRC Press, 2008.
Coding standards and selected papers
Course Link http://lms.nthu.edu.tw/course/16699 http://www.ee.nthu.edu.tw/chaotsung/teaching.html
