視訊串流與追蹤
Video streaming and tracking
學期
112-1
學分
3
學分
當期課號
535654
永久課號
CSIC30106
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 |
|---|---|
3 10:10–11:00 | 視訊串流與追蹤 EC115 2 節連堂 |
4 11:10–12:00 |
* 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 (3~4) : 45% Paper presentation: 15%
課程大綱
- Ch1. Overview on video streaming and its applications
- Ch2. Introduction to Deep Neural network and its variations
- Ch3. Image Classification
- Ch4. Object Detection and Localization
- Ch5. Object Segmentation
- Ch6. Object Representation and Identification
- Ch7. Object Tracking (I) - video object tracking (VOT)
- Ch8. Object Tracking (III) - multi-object tracking (MOT)
- Ch9. Object tracking (III) - video object segmentation (VOS)
- 10. Transformer and its applicataions
- Ch11. Video coding
- Ch12. Streaming protocol
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to video streaming and its applications |
| 第 2 週 | Neural Network – basic concepts |
| 第 3 週 | image classification |
| 第 4 週 | object detection and localization |
| 第 5 週 | object detection and localization |
| 第 6 週 | object segmentation |
| 第 7 週 | object representation and identification |
| 第 8 週 | midterm |
| 第 9 週 | Object tracking (I) - VOT |
| 第 10 週 | object tracking (II) -MOT |
| 第 11 週 | object tracking (III) - VOS |
| 第 12 週 | Transfomer and its applications |
| 第 13 週 | video coding - basic concept, H.264, HEVC |
| 第 14 週 | video streamingprotocol – ES, PES, PS, TS, DVB-IPTV, HLS |
| 第 15 週 | final exam |
| 第 16 週 | paper presentation |
| 第 17 週 | paper presentation |
教科書
hand-on lecture notes