8/24 – 9/18

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

視訊串流與追蹤

Video Streaming and Tracking

學期
114-1
學分
0 學分
當期課號
555008
永久課號
EEDE30108
開課單位
電機學院碩士在職專班
授課教師
蔡文錦
校區
光復
類別
選修
上課時間表
週一
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

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.

先修科目

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備註

無備註

教學方式

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評分方式

Mid-term + final exam: 40% Programming homeworks (3~4): 50% Paper presentation: 10%

課程大綱
  • Ch1. Overview on video streaming and its applications
  • Ch2. Video Coding
  • Ch3. Transport and Streaming
  • Ch4. Streaming Applications
  • Ch5. Advance topics (I) - Visual Transformer
  • Ch6. Advance topics (II) – Multimodality
週次計畫
週次主題
第 1 週Ch1. Introduction to video streaming and its applications Ch2. Video Coding - Video Fundamental
第 2 週Ch2. Video Coding - Digital Video Compression
第 3 週Transport and Streaming - Service Transport - Video Streaming
第 4 週Transport and Streaming - Service Transport - Video Streaming
第 5 週Streaming Applications - Machine Learning Fundamental: NN, CNN, RNN
第 6 週Streaming Applications - Object Classification
第 7 週Streaming Applications - Object Detection
第 8 週midterm
第 9 週Streaming Applications - Object Segmentation
第 10 週Streaming Applications - Object Tracking
第 11 週Advance topics (I) - Transformer - Transformer and its variations - Transformer-based models - classification - detection
第 12 週Advance topics (I) - Transformer - Transformer-based models - segmentation - tracking
第 13 週Advance topics (II) – Multimodality - Large Language Model (LLM) - Multimodal Classification/Detection/Segmentation/Tracking
第 14 週Advance topics (II) – Multimodality - Multimodal Classification/Detection/Segmentation/Tracking
第 15 週Final exam
第 16 週Paper presentation
教科書

hand-on lecture notes

Office Hours
地點
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時間
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聯絡方式
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