A high efficiency coding framework for multiple image compression of circular camera array

Many existing multi-view video coding techniques remove inter-viewpoint redundancy by applying disparity compensation in conventional video coding frameworks, e.g., H264/MPEG4. However, conventional methodology works ineffectively as they ignore the special features of the inter-view-point disparity. This paper proposes a framework using virtual plane (VP) for multi-view image compression, such that we can largely reduce the disparity compensation cost. Based on this VP predictor, we design a poxel (probabilistic voxelized volume) framework, which integrates the information of the cameras in different view-points in the polar axis to obtain a more effective compression performance. In addition, considering the replay convenience of the multi-view video at the receiving side, we reform overhead information in polar axis at the sending side in advance.