Course Description:
This course introduces the fundamentals of image and video processing, including color image capture and representation, image/video compression, video networking, selected advanced image/video processing techniques, and communication methods. 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 need to acquire both classical knowledge and cutting-edge techniques through this course.
Prerequisites:
Probability and Random Process, Signal and Systems, Digital Image Processing
Instructors:
Professor Zhan Ma, Room 332B, Email: mazhan@nju.edu.cn.
Professor Xu Zhang, Room 554A, Email: xzhang17@nju.edu.cn
Teaching Assistants:
Course Schedule:
Thurs. 1-2 仙II 306 (Week #1- #8), 电子楼311 (Week #9 - #16)
Office Hours:
Every Thursday 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%, Class: 20%
Syllabus and Course Material:
Week #1 08.27 视频通信简介Introduction to video communication [1]
Week #2 09.03 图像视频采集 Image/Video Acquisition [1, 2, 3, 4]
Week #3 09.10 图像视频编码 Image/Video Compression [1, 2]
Week #4 09.17 基于AI的图像视频编码 Learning for Image/Video Compression
Week #5 09.24 视觉质量评价及建模 Subjective Quality Assessment and quality metrics
Week #6 10.08 网络多媒体：协议、测量与标准 Networked Media: Protocal, Measurement & Standard
Week #7 10.15 基于AI的视频传输 Learning for Networking
Week #8 10.22 脑机接口 Brain Computer Interface
Week #9 10.29 课程大作业（选题分组）
Week #16 课程设计答辩
Tentative Course Projects