Course Descrption:
This course introduces fundamentals of image and video processing, including color image capture and representation; image/video compression; video networking; selected advanced image/video processing and communication techniques. Students will learn to implement selected algorithms in Python (Matlab). A term project will be required. Relevant publications will be provided as reference. Through this course, students would have to gain the classical knowledge and cutting-edge techniques.
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:
Zhihao Li, Room 311, Email: lizhihao6@outlook.com
Course Schedule:
Wed 9-10, 腾讯会议 ID # 399 715 267 (Online)
Wed 9-10, Room 逸B-210 1-8周, 电子楼311 9-17周. (Offline)
Office Hour:
Every Wed 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: 80%, Assignments: 20% (Programming & Written)
Projects (Projects 2019 References)
Syllabus and Course Material:
Week #1 9.1 视频通信简介Introduction to the video communication [pdf]
Week #2 9.8 图像视频编码Image and Video Compression [part1, part2]
Week #3 9.15 图像视频标准 Image/Video Compression: Standards [
coding_standards_pt1.pdf, coding_standards_pt2.pdf] (Coutersy of Prof. Yao Wang)
Week #4 9.22 网络多媒体：协议，测量及标准 Networked Media: Protocol, Measurement and Standard [pdf] [video (password: OHKehs9S)]
Week #5 9.26 视觉质量评价及建模 Subjective quality assessment and quality Metrics [part1, part2] [video]
Week #6 9.29 基于AI的图像视频编码 Learning for Image/Video Compression [lec11_智能编码的探索.pdf]
Week #7 10.13 基于AI的视频传输 Learning for Networking [lec12_learning_for_networking.pdf]
Week #8 10.20 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 10.27 课程大作业（选题分组）
Week #16 12.22 课程设计答辩 Project Review