視訊壓縮(英文授課)

- Introduction to Digital Video .Human Visual Systems .Video Formats, Representations, and Quality .Video Compression Standards - Video Compression: Concepts and Techniques .Predictive Coding .Transform Coding .Scalar and Vector Quantization .Rate-Distortion Optimization - Fundamentals of Source Coding .Lossless Coding .Binary Encoding - ­Video Compression Standards .H.265/HEVC, H.264/AVC - ­Learning-based Image/video Compression .Moving Picture, Audio and Data Coding by Artificial Intelligence (http://mpai.community/) .Challenge on Learned Image Compression (CLIC) at CVPRs (https://www.compression.cc/) .JPEG AI Learning-based Image Compression Challenge at MMSP20 (https://jpegai.github.io/)

The recommended prerequisites are to have taken at least one of Source Coding, Digital Signal Processing, Digital Image Processing, and Random Process, or prior experience with image or video processing and compression.

Homework 30% Written assignment and/or computer simulation Should be done individually, but discussions are encouraged Paper presentations 20% Should be done individually Final project 30% Work individually or as part of a team of 2 students Final oral exam 15% In-class quizzes 5%

­(1) Mathias Wien, High Efficiency Video Coding: Coding Tools and Specification, Springer-Verlag Berlin Heidelberg, 2015. (eBook ISBN: 978-3-662-44276-0) ­(2) Iain E. Richardson, The H.264 Advanced Video Compression Standard, Wiley, 2nd Edition, 2010. (ISBN-13: 978-0470516928) ­(3) Y. Wang, J. Ostermann, and Y. Q. Zhang, Video Processing and Communications, Prentice-Hall, 2001. (ISBN-13: 978-0130175472)

時間

­Mondays after class in Engineering Building III Room 431. Other time slots are also possible by appointments beforehand.