---

Abstract:

For more than ten years now, we have been witnessing a brutal upheaval in the way scientific research is conducted. No research discipline has escaped the introduction of the artificial intelligence paradigm into the design of solutions to real-world problems. Even if the approaches based on neural network architecture do not convince us enough, according to the deductive reasoning in which we have been immersed for many years, we must admit the effectiveness of this new way of approaching and solving concrete problems. In this talk I will be focusing on the perceptual quality of visual content, and more specifically images and videos. It should be noted that the prediction and estimation of the perceptual quality of visual content has not escaped this new wave either, especially as the evaluation of image quality is a high-level task involving complex cognitive processes. In this talk, I will relate my experience as an actor and witness of some waves and revolutions in the academic world of research and more precisely in the field of image/video quality assessment and enhancement. I will present my point of view through some key scientific questions and a few real-life applications in various fields that I have tackled during my career.