Image Intelligence Today: Computer Vision
summary
Vision artificial (computer vision) aims to emulate human visual perception using algorithms and computational models. The talk reviews how computer vision is present in everyday life and raises questions about the ways it is used and whether those uses are appropriate.
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chapters (23)
- 0:00Introduction
- 1:47What is computer vision?
- 4:33How computer vision works
- 7:00Image capture types
- 9:10Electromagnetic spectrum and thermography
- 13:44Image processing
- 15:27Traditional computer vision
- 16:52Machine learning in computer vision
- 17:15Deep learning and databases
- 18:19Medical and defense applications
- 19:01Industry and retail applications
- 20:05Benefits of computer vision
- 21:10Specialization challenges
- 22:11Big Data and imbalance
- 22:56Ethics: dependence
- 23:47Ethics: overcontrol
- 24:09Ethics: inequality
- 25:16Ethics: data bias
- 26:18Ethics: cybersecurity
- 26:40Ethics: reskilling
- 27:23Ethics: creativity
- 28:27Medical applications map
- 29:32Future: AR and AI
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