1 research outputs found
Error-Resilient Multicasting for Multi-View 3D Videos in Wireless Networks
With the emergence of naked-eye 3D mobile devices, mobile 3D video services
are becoming increasingly important for video service providers, such as
Youtube and Netflix, while multi-view 3D videos have the potential to inspire a
variety of innovative applications. However, enabling multi-view 3D video
services may overwhelm WiFi networks when every view of a video are
multicasted. In this paper, therefore, we propose to incorporate
depth-image-based rendering (DIBR), which allows each mobile client to
synthesize the desired view from nearby left and right views, in order to
effectively reduce the bandwidth consumption. Moreover, when each client
suffers from packet losses, retransmissions incur additional bandwidth
consumption and excess delay, which in turn undermines the quality of
experience in video applications. To address the above issue, we first discover
the merit of view protection via DIBR for multi-view video multicast using a
mathematical analysis and then design a new protocol, named Multi-View Group
Management Protocol (MVGMP), to support the dynamic join and leave of users and
the change of desired views. The simulation results demonstrate that our
protocol effectively reduces bandwidth consumption and increases the
probability for each client to successfully playback the desired views in a
multi-view 3D video.Comment: arXiv admin note: substantial text overlap with arXiv:1409.835