3 accepted papers
We introduce COOL-CHIC, a Coordinate-based Low Complexity Hierarchical Image Codec. It is a learned alternative to autoencoders with 629 parameters and 680 multiplications per decoded pixel. COOL-CHIC offers compression performance close to modern conventional MPEG codecs such as HEVC and is competi…
In this paper, we propose to enhance learned image compression systems with a richer probability model for the latent variables. Previous works model the latents with a Gaussian or a Laplace distribution. Inspired by binary arithmetic coding, we propose to signal the latents with three binary values…
The use of multiple transforms in video coding can lead to substantial bit-rate savings. However, these savings come at the expense of increased coding complexity and storage requirements, which challenge the usability of this approach. In this paper, a systematic procedure is proposed to design low…