README.md

Intelligent Video Analytics with Deep Learning

This is a repository for the Intelligent Video Analytics with Deep Learning at KAIST MBA Lecture (IM561) (Prof. Oh, W)

Introduction

• Instructor: Jongho Kim, Quantitative Researcher at December and Company (quantic.jh@gmail.com)
• This session focuses on 1. social science research and practice applying video analytics and 2. learn how to understand and analyze quantitative video data based on deep learning

Modules

• This session is desinged with below modules

  • Prerequisite
  • Module 0. Introduction
  • Module 1. Video Analytics and Social Science Research
  • Module 2. Underlying Mechanisms of Deep Learning
  • Module 3. Detecting Labels in Your Own Video Data

• For practice

  • KAIST_Video_Analytics.ipynb

For Citation

@misc{jonghkim,
  author = {Jongho Kim},
  title = {kaist-video-analytics},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/jonghkim/kaist-video-analytics}},
}