視訊串流與追蹤
Video streaming and tracking
| 節 | 週一 | 週四 |
|---|---|---|
2 09:00–09:50 | 視訊串流與追蹤 ED102（光復） | |
5 13:20–14:10 | 視訊串流與追蹤 ED102（光復） 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
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.
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Mid-terma + final exam: 40% Programming homeworks (4~5) : 45% Paper presentation: 15%
Ch1. Overview on video streaming and its applications
- 講授：
- 3
Ch2. Video coding
- spatial coding - temporal coding - H.264 - HEVC - Audio coding
- 講授：
- 9
Ch3. Streaming protocol
-ES, PES, PS, TS - DVB IPTV, HTTP Live Streaming (HLS), Adobe Media Server
- 講授：
- 6
Ch4. Introduction to Deep Neural network and its variations
- CNN, RNN
- 講授：
- 3
Ch5. Object Classification
- AlexNet, ZFnet, VGG, GoogLeNet, ResNet, and some variations
- 講授：
- 3
Ch6. Object Detection and Localization
- Overfeat, R-CNN, Fast R-CNN, Faster R-CNN, SDD, YOLO, MaskRCNN
- 講授：
- 3
Ch7. Object Segmentation
- FCN, DeepLab, SegNet, E-Net, DeepMask, SharpMask, MNC, Mask R-CNN
- 講授：
- 3
Ch8. Object Representation and Identification
- DeepFace, FaceNet, BinaryHashingCode, DeepBit
- 講授：
- 3
Ch9. Event Detection and Object tracking
- C3D, S-CNN, CDC - RNN-based tracking: RATM, ROLO -CNN-based tracking: GOTURN, HCF, RFH
- 講授：
- 3
| 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 |
hand-on lecture notes
- 地點
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