Course Description:
This course introduces image and video processing fundamentals, including color image capture and representation, image/video compression, video networking, selected advanced image/video processing, and communication techniques. Students will learn to implement algorithms chosen in Python (Matlab). A term project will be required. Relevant publications will be provided as references. Students would have to gain classical knowledge and cutting-edge techniques through this course.
Prerequisites:
Probability and Random Process, Signal and Systems, Digital Image Processing
Instructor:
Professor Zhan Ma, Room 332B, Email: mazhan@nju.edu.cn. Homepage
Teaching Assistants:
Dr. Ming Lu, minglu@nju.edu.cn Homepage
Course Schedule:
Thurs. 1-2 仙I 322 (Week #1- #8), 电子楼311 (Week #9 - #16)
Office Hour:
Every Thurs Before and After Class (or By appointment)
Text Book/References:
Y. Wang, J. Ostermann, and Y.Q.Zhang, Video Processing and Communications. Prentice Hall, 2002. 'Link' (Reference for image and video coding, motion estimation, and stereo)
Richard Szeliski, Computer Vision: Algorithms and Applications. (Available online:'Link') (Cover most of the material, except sparsity-based image processing and image and video coding
Grade Policy:
Final: 60%, Midterm：20%，Class Assignments: 20% (Programming & Written)
Syllabus and Course Material:
Week #1 9.7 视频通信简介Introduction to the video communication [pdf]
Week #2 9.14 图像视频编码Image and Video Compression [part1, part2]
Week #3 9.21 图像视频标准 Image/Video Compression: Standards [
coding_standards_pt1.pdf, coding_standards_pt2.pdf] (Courtesy of Prof. Yao Wang)
Week #4 9.28 图像编码案例教学 Practices of Image Codec Design [Overview, Readings #1, #2, #3]
Week #5 10.7 网络多媒体：协议，测量及标准 Networked Media: Protocol, Measurement, and Standard [pdf]
Week #6 10.12 基于AI的视频传输 Learning for Networking [lec6_learning_for_networking.pdf]
Week #7 10.19 视觉质量评价及建模 Subjective quality assessment and quality Metrics [part1, part2]
Week #8 10.26 计算成像与编码Computational Imaging & Coding [lec14_计算成像_p1.pdf, lec14_计算成像_p2.pdf]
Week #9 11.2 课程大作业（选题分组）
Week #16 12.28 课程设计答辩 Project Review