41 citations · 41 across the 3 of their papers we have counts for
3 papers
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…
Versatile Video Coding Standard: A Review from Coding Tools to Consumers Deployment
Wassim Hamidouche, Thibaud Biatek, Mohsen Abdoli +5
The amount of video content and the number of applications based on multimedia information increase each day. The development of new video coding standards is a challenge to increa…
CNN-based driving of block partitioning for intra slices encoding
Franck Galpin, Fabien Racapé, Sunil Jaiswal +3
This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the block partitioning in in…