Framework for layered 3D video streaming

This paper presents a layered framework for 3D-TV applications, combining multiview and depth-image based approaches in a scalable fashion. To solve the problem of missing data due to disocclusions, we add specific layers for coded oc clusion data and the edge-mask information for high-quality 3D rendering of key objects in the scene. We show how the same framework can be extended towards FTV applications by jointly addressing simulcast and multicast transmission. By adopting a distributed delivery architecture, new interesting properties can be realized such as shared processing for the creation and streaming of virtual viewpoints. In an extensive system discussion, we conclude that it is possible to adaptively implement our streaming applications using a cross-layered approach. Similarly, the concept of selective reliability optimization can be introduced into our system.