3 papers
cs.CV2025
FGA-NN: Film Grain Analysis Neural Network
Zoubida Ameur, Frédéric Lefebvre, Philippe De Lagrange +1
Film grain, once a by-product of analog film, is now present in most cinematographic content for aesthetic reasons. However, when such content is compressed at medium to low bitrat…
eess.IV2024
3R-INN: How to be climate friendly while consuming/delivering videos?
Zoubida Ameur, Claire-Hélène Demarty, Daniel Menard +1
The consumption of a video requires a considerable amount of energy during the various stages of its life-cycle. With a billion hours of video consumed daily, this contributes sign…
eess.IV2022
Deep-based Film Grain Removal and Synthesis
Zoubida Ameur, Wassim Hamidouche, Edouard François +3
In this paper, deep learning-based techniques for film grain removal and synthesis that can be applied in video coding are proposed. Film grain is inherent in analog film content b…