41 citations · 41 across the 4 of their papers we have counts for
5 papers
Exploiting Latent Properties to Optimize Neural Codecs
Muhammet Balcilar, Bharath Bhushan Damodaran, Karam Naser +2
End-to-end image and video codecs are becoming increasingly competitive, compared to traditional compression techniques that have been developed through decades of manual engineeri…
Neural Network based Inter bi-prediction Blending
Franck Galpin, Philippe Bordes, Thierry Dumas +2
This paper presents a learning-based method to improve bi-prediction in video coding. In conventional video coding solutions, the motion compensation of blocks from already decoded…
Combined neural network-based intra prediction and transform selection
Thierry Dumas, Franck Galpin, Philippe Bordes
The interactions between different tools added successively to a block-based video codec are critical to its rate-distortion efficiency. In particular, when deep neural network-bas…
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…
Iterative training of neural networks for intra prediction
Thierry Dumas, Franck Galpin, Philippe Bordes
This paper presents an iterative training of neural networks for intra prediction in a block-based image and video codec. First, the neural networks are trained on blocks arising f…