3D Point Cloud Direction Prediction for Encoding Efficiency

The patent applies preliminary action by performing motion compensation and generating predicted point clouds before the actual encoding process. The encoder pre-processes reference point clouds to create prediction models, which are then used during encoding to reduce the residual data that needs to be coded. This preliminary preparation significantly improves encoding efficiency by reducing the complexity of the main encoding step.

The patent introduces an intermediary mechanism through the use of prediction residuals. Instead of directly encoding the original point cloud data, the system first generates predicted point clouds through motion compensation, then encodes only the differences (residuals) between actual and predicted data. This intermediary residual representation dramatically reduces the amount of information that needs to be encoded, improving both efficiency and compression ratio.

The patent applies segmentation by dividing the point cloud data processing into distinct components: motion vector calculation, motion compensation, prediction residual generation, and final encoding. By segmenting the complex motion compensation process into manageable stages, the system achieves high prediction accuracy while keeping each individual processing step relatively simple and computationally efficient.

The patent implements partial action by applying motion compensation selectively to regions where it provides the most benefit. Rather than performing full motion compensation on all point cloud data uniformly, the system focuses computational resources on areas with significant motion or phase differences, achieving high accuracy where needed while reducing overall computational complexity in static regions.