video systems. In this paper, a convolutional neural network (CNN) based block upsampling
method is proposed to improve the efficiency of depth video intra coding. For each largest
coding tree in a depth map, it is down-sampled before sent into encoder and recovered into
the original size in an intelligent way after low-resolution coding. A novel texture-assisted
CNN (TACNN) is presented to handle the depth block up-sampling. The network is made up …