Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from the data set. Ef...
We study the compression problem of visual scenes acquired with a camera for transmission or storage. Our proposed model is general and includes two well-known cases: that of vide...
Nowadays standard technologies for spatially scalable video coding use Gaussian pyramidal approaches, that naturally lead to redundant descriptions after the temporal analysis. Ho...
When multiple video sources are live-encoded and transmitted over a common wireless network, each stream needs to adapt its encoding parameters to wireless channel fluctuations, ...
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...