Virtual View Adaptation for 3D Multi-View Video Streaming

Virtual views in 3D-TV and multi-view video systems are reconstructed images of the scene generated synthetically from the original views. In this paper, we analyze the performance of streaming virtual views over IP-networks with a limited and time-varying available bandwidth. We show that the average video quality perceived by the user can be improved with an adaptive streaming strategy aiming at maximizing the average video quality. Our adaptive 3D multi-view streaming can provide a quality improvement of 2 dB on the average - over non-adaptive streaming. We demonstrate that an optimized virtual view adaptation algorithm needs to be view-dependent and achieve an improvement of up to 0.7 dB. We analyze our adaptation strategies under dynamic available bandwidth in the network.