Multi-view prediction structure for free viewpoint video

In this paper, we described geometric prediction structure for multi-view video coding. By exploiting the geometric relations between each camera pose, we can make prediction pair which maximizes the spatial correlation of each view. To analyze the relationship of each camera pose, we defined the mathematical mean view and view distance in 3D space. We proposed an algorithm for establishing the geometric prediction structure based on view center and view distance. Using this prediction structure, inter-view prediction is performed to camera pair of maximum spatial correlation. In our prediction structure, we also considered the view scalability. Experiments are done using JMVC software on MPEG-FTV test sequences. Overall performance is measured in the PSNR and subjective image quality measure such as PSPNR.