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 EC022(光復) | |
5 13:20–14:10 | 視訊串流與追蹤 EC022(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.
教師未提供此項資料
無備註
教師未提供此項資料
Mid-terma + final exam: 40% Programming homeworks (3~4) : 45% Paper presentation: 15%
Ch1. Overview on video streaming and its applications
Course introduction
- 講授:
- 3
Ch2. Introduction to Deep Neural network and its variations
- Neural Network (NN) - Convolutional Neural Network (CNN)
- 講授:
- 3
Ch3. Image Classification
- AlexNet, ZFnet, VGG, GoogLeNet, ResNet, and some variations
- 講授:
- 3
- 實作:
- Object classification
Ch4. Object Detection and Localization
- Overfeat, R-CNN, SPPnet, Fast R-CNN, Faster R-CNN, SDD, YOLO, RetinaNet, FPN
- 講授:
- 6
- 實作:
- Object detection
Ch5. Object Segmentation
- FCN, DeepLab, SegNet, E-Net, ICnet,DeepMask, SharpMask, I-FCN, R-FCN, MNC, Mask R-CNN
- 講授:
- 6
Ch6. Object Representation and Identification
- DeepFace, FaceNet, BinaryHashingCode, DeepBit
- 講授:
- 3
Ch7. Object Tracking (I) - video object tracking (VOT)
- RNN-based tracking: RATM, ROLO, JDRL -CNN-based tracking: TRFH, FCNT, GOTURN, SiamFC, SiamRPN, SiamRPN++, DaSiamRPN, SiamFC++, SiamCAR
- 講授:
- 6
Ch8. Object Tracking (III) - multi-object tracking (MOT)
- IoU Tracker, SORT, Deep SORT, JDE, FairMOT
- 講授:
- 3
- 實作:
- Object tracking
Ch9. Object tracking (III) - video object segmentation (VOS)
SegFlow, MaskTrack, RGMP, PML, FEELVOS, STM, PMVOS, SiamMask
- 講授:
- 3
10. Transformer and its applicataions
Transfomer-based object detection, segmentation, tracking Multimodel - natural Language and computer vision
- 講授:
- 6
- 實作:
- Transformer exploring
Ch11. Video coding
- spatial coding - temporal coding - H.264 - HEVC - Audio coding
- 講授:
- 3
Ch12. Streaming protocol
-ES, PES, PS, TS - DVB IPTV, HTTP Live Streaming (HLS), Adobe Media Server
- 講授:
- 3
- 實作:
- streaming system
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to video streaming and its applications 2024-09-02(一),2024-09-05(四) |
| 第 2 週 | Neural Network – basic concepts 2024-09-09(一),2024-09-12(四) |
| 第 3 週 | Image classification 2024-09-16(一),2024-09-19(四) |
| 第 4 週 | Object detection and localization (I) 2024-09-23(一),2024-09-26(四) |
| 第 5 週 | Object detection and localization (II) 2024-09-30(一),2024-10-03(四) |
| 第 6 週 | Object segmentation 2024-10-07(一),2024-10-10(四) |
| 第 7 週 | Object representation and identification 2024-10-14(一),2024-10-17(四) |
| 第 8 週 | midterm 2024-10-21(一),2024-10-24(四) |
| 第 9 週 | Object tracking (I) - Single Object Tracking (VOT) 2024-10-28(一),2024-10-31(四) |
| 第 10 週 | object tracking (II) -Multiple Object Tracking (MOT) 2024-11-04(一),2024-11-07(四) |
| 第 11 週 | object tracking (III) - Video Object Segmentation (VOS) 2024-11-11(一),2024-11-14(四) |
| 第 12 週 | Transfomer and its applications (I) - Transformer-based object detection, segmentation, and object tracking 2024-11-18(一),2024-11-21(四) |
| 第 13 週 | Transfomer and its applications (II) - Multimodel : NLP and CV 2024-11-25(一),2024-11-28(四) |
| 第 14 週 | Video coding - basic concept, H.264, HEVC 2024-12-02(一),2024-12-05(四) |
| 第 15 週 | Video streaming protocol – ES, PES, PS, TS, DVB-IPTV, HLS 2024-12-09(一),2024-12-12(四) |
| 第 16 週 | Final exam 2024-12-16(一),2024-12-19(四) |
| 第 17 週 | Paper presentation 2024-12-23(一),2024-12-26(四) |
hand-on lecture notes
- 地點
- 教師未提供此項資料
- 時間
- 教師未提供此項資料
- 聯絡方式
- 教師未提供此項資料
