5 papers
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…
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…
Context-adaptive neural network based prediction for image compression
Thierry Dumas, Aline Roumy, Christine Guillemot
This paper describes a set of neural network architectures, called Prediction Neural Networks Set (PNNS), based on both fully-connected and convolutional neural networks, for intra…
Autoencoder based image compression: can the learning be quantization independent?
Thierry Dumas, Aline Roumy, Christine Guillemot
This paper explores the problem of learning transforms for image compression via autoencoders. Usually, the rate-distortion performances of image compression are tuned by varying t…