CBPT: A New Backbone For Enhancing information Transmission of Vision Transformers

As a key technique for geometry-based point cloud inter frame coding, motion estimation (ME) has shown the effectiveness to improve the coding efficiency. But the high complexity limits its application. We propose a novel and effective method for fast global motion matching between consecutive frames. We first divide an input point cloud into several blocks, and construct a graph for each block. Then, a graph filter is applied to remove the highest and lowest frequency coefficients based on predefined thresholds. Finally, by quantitatively analyzing the geometry gradients of the output of the graph filter, only some key points are reserved. Experimental results show that an average 49% encoding time can be saved with only 0.5% loss of coding efficiency for lossy geometry-lossy attributes configuration while an average 45% encoding time can be saved with no loss of coding efficiency for lossless geometry-lossless attributes configuration.