29 citations · 118 across the 13 of their papers we have counts for
3 papers · 1 filter
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…
Rate-Distortion Performance of Sequential Massive Random Access to Gaussian Sources with Memory
Elsa Dupraz, Thomas Maugey, Aline Roumy +1
In Sequential Massive Random Access (SMRA), a set of correlated sources is jointly encoded and stored on a server, and clients want to access to only a subset of the sources. Since…