\fresh{}
\section{Introduction}

In this chapter, we take a little step back from interaction and propose a system with very basic interaction but that answers most of the open problems mentioned in Section~\ref{i:challenges}.
We take massive inspiration from video streaming, since we have seen in Section~\ref{i:video-vs-3d} how related video streaming and 3D streaming are and how DASH, the standard for video streaming, is so efficient in Section~\ref{sote:dash}.
DASH is based on content preparation and structuring which helps not only the streaming policies that rely on it but also the performance of the system since it removes completely the load on the server side.
A DASH client is simply a client that downloads the structure of the content, and then, depending on its needs, decide what to download by itself.

In this chapter, we show how, by mimicking DASH with 3D streaming, we develop a system that keeps those benefits.
Section~\ref{d3:dash-3d} describes our content preparation, and all the preprocessing that is done to our model to allow efficient streaming.
Section~\ref{d3:dash-client} gives possible implementations of clients that exploit the content structure.
Section~\ref{d3:evaluation} evaluates the impact of the different parameters that appear both in the content preparation and the clients.
Finally, Section~\ref{d3:conclusion} sums up our work and explains how it tackles the challenges raised in the conclusion of the previous chapter.

