Automatic video colorization – Arce

Image and video colorization consists in turning an original black and white image into a color version y adding a color component. This technique has been widely used for the restoration of heritage films, archival photographs, or for some artistic effects. Image colorization methods based on deep learning have met a huge success in recent years. These techniques are fully automatic and very fast, but they have not been adopted by video colorization experts. Indeed, these approaches do not ensure the temporal consistency of the colorization result, which is especially disturbing for the human vision system. To increase the accuracy of these techniques, we will propose new methods in the Arce project for video colorization algorithms which aim to be automatic, fast, and perceptually reliable. The ultimate goal of the project is the use of our work in video restoration studios.