We then proceed to compare 3D and video content: surprisingly, video and 3D share many features, and analysing video setting gives inspiration for building a 3D streaming system.
We first develop a basic interface for navigating in 3D and thus, we introduce 3D objects called \emph{bookmarks} that help users navigating in the scene.
We then present a user study that we conducted on 50 people that shows that bookmarks ease user navigation as bookmark improves performance at tasks such as finding objects.
% Then, we setup a basic 3D streaming system that allows us to replay the traces collected during the user study and simulate 3D streaming at the same time.
We analyse how the presence of bookmarks impacts the streaming: we propose and evaluate streaming policies based on pre-computations relying on bookmarks and that measurably increase the quality of experience.
We first develop an interface that allows desktop as well as mobile devices to navigate in a 3D scene being streamed, and that introduces a new style of bookmarks.
We then explain why simply applying the ideas developed in Chapter~\ref{bi} is not sufficient and we propose more efficient pre-computations that can enhance the streaming.
Finally, we present a user study that provides us with traces on which we evaluate the impact of our extension of DASH-3D on the quality of service and on the quality of experience.