視訊串流與追蹤
Video streaming and tracking
學期
107-1
學分
3
學分
當期課號
5254
永久課號
ILE5061
開課單位
多媒體工程研究所
授課教師
蔡文錦
校區
光復
類別
選修
上課時間表
| 節 | 週一 | 週四 |
|---|---|---|
2 09:00–09:50 | 視訊串流與追蹤 ED102 | |
5 13:20–14:10 | 視訊串流與追蹤 ED102 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
概述
This course aims at introducing video streaming over Internet and its applications such as surveillance, remote object tracking etc. The technologies involved include video coding, streaming protocol, object detection and localization, object classification and identification, object tracking, etc. Students will learn both machine learning methods as well as conventional ways on these technologies.
評分方式
Mid-terma + final exam: 40% Programming homeworks (4~5) : 45% Paper presentation: 15%
課程大綱
- Ch1. Overview on video streaming and its applications
- Ch2. Video coding
- Ch3. Streaming protocol
- Ch4. Introduction to Deep Neural network and its variations
- Ch5. Object Classification
- Ch6. Object Detection and Localization
- Ch7. Object Segmentation
- Ch8. Object Representation and Identification
- Ch9. Event Detection and Object tracking
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to video streaming and its applications |
| 第 2 週 | Video coding – basic concept |
| 第 3 週 | Video coding – H.264 |
| 第 4 週 | Video coding – HEVC |
| 第 5 週 | Audio Coding |
| 第 6 週 | Streaming Protocol – ES, PES, PS, TS |
| 第 7 週 | Streaming Protocol – DVB-IPTV, HLS |
| 第 8 週 | Homwworks #1,#2 presentation |
| 第 9 週 | Midterm |
| 第 10 週 | Neural Network – basic concepts (CNN, RNN) |
| 第 11 週 | Object Classification |
| 第 12 週 | Object detection and localization |
| 第 13 週 | Object Segmentation |
| 第 14 週 | Object Representation and Identation |
| 第 15 週 | Object Tracking |
| 第 16 週 | Final Exam |
| 第 17 週 | Homework #3, #4 demonstration |
| 第 18 週 | Paper presentation and discussion |
教科書
hand-on lecture notes