Compressing the file size of images and videos leads to reducing Internet traffic, so many engineers are reconsidering compression technology. Martin Lumiste, who works on the development of real ...

EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...

What we are doing So far, the field of neural image and video compression research has focused on improving compression and reducing memory and complexity requirements. However, since neural ...

The neural network then selected 100 photos with the least effective compression, learning what not to do by way of example.

What we are doing So far, the field of neural image and video compression research has focused on improving compression and reducing memory and complexity requirements. However, since neural ...

Recent developments mean that compression can be considered a computer vision problem. Neural compression is an opportunity for us to experiment and rethink.

Deep Render, a London startup and spin-out of Imperial College that is applying machine learning to image compression, has raised £1.6 million in seed ...