Nowadays, video-conference tends to be more and more advantageous because of the economical and
ecological cost of transport. Several platforms exist. The goal of the TIFANIS immersive platform is to let
users interact as if they were physically together. Unlike previous teleimmersion systems, TIFANIS uses
generic hardware to achieve an economically realistic implementation. The basic functions of the system are
to capture the scene, transmit it through digital networks to other partners, and then render it according to
each partner's viewing characteristics. The image processing part should run in real-time.
We propose to analyze the whole system. it can be split into different services like central processing
unit (CPU), graphical rendering, direct memory access (DMA), and communications trough the network.
Most of the processing is done by CPU resource. It is composed of the 3D reconstruction and the detection
and tracking of faces from the video stream. However, the processing needs to be parallelized in several
threads that have as little dependencies as possible. In this paper, we present these issues, and the way we deal