This chapter deals with video applications. While methods applied to images can be applied to single frames of videos, this usually comes with a loss of temporal consistency. We will try to strike a balance between what's possible on consumer hardware and what's interesting enough to show and implement.
Quite a few applications should come to mind when talking about video, such as object tracking, event detection (surveillance), deep fake, 3D scene reconstruction, and navigation (self-driving cars).
A lot of them require many hours or days of computation. We'll try to strike a sensible compromise between what's possible and what's interesting. This compromise might be felt more than in other chapters, where computations ...
