Abstract
Capturing moving imagery and delivering in different display scenarios to viewers offers many opportunities for additional processing, whether it is in optimising the presentation of the original images for higher display resolutions, or in enhancing the representation of imagery that has been captured in less-than-ideal scenarios or is being delivered to the viewer in ways that additional processing is needed to reduce bit rates or increase image quality.
AI and ML techniques are now used in many of these situations to do more than what a human could do, and this presentation will present several examples of the application of these techniques in real world use cases.
