일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
7 | 8 | 9 | 10 | 11 | 12 | 13 |
14 | 15 | 16 | 17 | 18 | 19 | 20 |
21 | 22 | 23 | 24 | 25 | 26 | 27 |
28 | 29 | 30 |
Tags
- 우리들교회
- R
- node.js
- Big Data
- Statistics
- 김양재 목사
- 확률
- MongoDB
- 딥러닝
- openCV
- 통계
- data science
- 김양재 목사님
- 몽고디비
- Deep learning
- No SQL
- nodeJS
- 빅데이터
- 데이터 과학
- 빅데이타
- 김양재
- 인공지능
- c++
- Machine Learning
- 빅 데이타
- WebGL
- Artificial Intelligence
- 빅 데이터
- probability
- 주일설교
Archives
- Today
- Total
목록Video Analysis (1)
Scientific Computing & Data Science
Definition of Video Analysis from Wikipedia
Video content analysis (also Video content analytics, VCA) is the capability of automatically analyzing video to detect and determine temporal events not based on a single image. As such, it can be seen as the automated equivalent of the biological visual cortex.This technical capability is used in a wide range of domains including entertainment,[1] health-care, retail, automotive, transport, ho..
Video Analysis/Definition
2013. 10. 22. 20:26