We suggest a novel approach for compressing images of text documents based on building up a simple derived font from patterns in the image, and present the results of a prototype ...
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
Recently, Chen et al. proposed a method for compressing color-quantized images that is based on a binary tree representation of colors and on context-based arithmetic coding with ...
We describe a compression model for semistructured documents, called Structural Contexts Model (SCM), which takes advantage of the context information usually implicit in the stru...
This paper presents new results in the field of video coding and compression using 3D information. Contrary to prior art in 3D model-based coding where 3D models have to be known,...
Franck Galpin, Koichiro Deguchi, Luce Morin, Rapha...