視訊串流與追蹤

Video Streaming and Tracking

學期

109-2

學分

0 學分

當期課號

5010

永久課號

IEC5508

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

節	週二
A 18:30–19:20	視訊串流與追蹤 EC122（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-terma + final exam: 40% Programming homeworks (4~5) : 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) - MOT
Ch9. Object tracking (II) - video object segmentation (VOS)
Ch10. Video coding
Ch11. 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	Neural Network - basic concepts
第 4 週	image classification
第 5 週	object detection and localization
第 6 週
第 7 週	object segmentation
第 8 週	object representation and identification
第 9 週	midterm
第 10 週	Object tracking (I) - VOT
第 11 週	object tracking (II) -MOT
第 12 週	object tracking (III) - VOS
第 13 週	video coding - basic concept, H.264, HEVC
第 14 週	video streaming protocol – ES, PES, PS, TS, DVB-IPTV, HLS
第 15 週	final exam
第 16 週	paper presentation
第 17 週	paper presentation
第 18 週	Project demo

教科書

hand-on lecture notes

Office Hours

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