Global view and depth format for FTV

Abstract

We propose a novel 3D space representation for multi-view video, using epipolar plane depth images (EPDI). Multi-view video plus depth (MVO) is used as common data format for FTV(Free-viewpoint TV), which enables synthesizing virtual view images. Due to the large amount of data and complexity of the multi-view video coding (MV C), compression of MVO is a challenging issue. We address this problem and propose a new representation that is constructed from MVO using ray space. MVO is converted into image and depth ray-spaces. The proposed representation is obtained by converting each of ray-spaces into a global depth map and a KL transformed global view using EPOI. Experiments demonstrate the analy sis of this representation, and its efficiency.