  We consider an interactive multiview video streaming (IMVS) system where
clients select their preferred viewpoint in a given navigation window. To
provide high quality IMVS, many high quality views should be transmitted to the
clients. However, this is not always possible due to the limited and
heterogeneous capabilities of the clients. In this paper, we propose a novel
adaptive IMVS solution based on a layered multiview representation where camera
views are organized into layered subsets to match the different clients
constraints. We formulate an optimization problem for the joint selection of
the views subsets and their encoding rates. Then, we propose an optimal and a
reduced computational complexity greedy algorithms, both based on
dynamic-programming. Simulation results show the good performance of our novel
algorithms compared to a baseline algorithm, proving that an effective IMVS
adaptive solution should consider the scene content and the client capabilities
and their preferences in navigation.
