視訊串流與追蹤
Video Streaming and Tracking
| 節 | 週五 |
|---|---|
A 18:30–19:20 | 視訊串流與追蹤 EC114(光復) 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 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
- 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
Ch4. Object Detection and Localization
- Overfeat, R-CNN, SPPnet, Fast R-CNN, Faster R-CNN, SDD, YOLO, RetinaNet, FPN
- 講授:
- 6
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
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 and its applications in computer vision including object tracking
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
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to video streaming and its applications 2023-09-15(五) |
| 第 2 週 | Neural Network – basic concepts 2023-09-22(五) |
| 第 3 週 | image classification 2023-09-29(五) |
| 第 4 週 | object detection and localization 2023-10-06(五) |
| 第 5 週 | object detection and localization 2023-10-13(五) |
| 第 6 週 | object segmentation 2023-10-20(五) |
| 第 7 週 | object representation and identification 2023-10-27(五) |
| 第 8 週 | midterm 2023-11-03(五) |
| 第 9 週 | Object tracking (I) - VOT 2023-11-10(五) |
| 第 10 週 | object tracking (II) -MOT 2023-11-17(五) |
| 第 11 週 | object tracking (III) - VOS 2023-11-24(五) |
| 第 12 週 | Transfomer and its applications 2023-12-01(五) |
| 第 13 週 | video coding - basic concept, H.264, HEVC 2023-12-08(五) |
| 第 14 週 | video coding - basic concept, H.264, HEVC 2023-12-15(五) |
| 第 15 週 | video streamingprotocol – ES, PES, PS, TS, DVB-IPTV, HLS 2023-12-22(五) |
| 第 16 週 | Final exam 2023-12-29(五) |
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
