Point Cloud Patch Encoding Using Inter-Frame Auxiliary Information Differences
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Solution Overview
Problem
Existing methods for processing point cloud data result in coding/compression performance loss due to separate processing of each frame, failing to effectively utilize the correlation between consecutive frames.
Innovation Solution
An encoding method that determines X first patches from M patches in a current frame, obtains auxiliary information differences with corresponding patches from a previous frame, and encodes these differences to reduce coding loss and improve performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If point cloud data of each frame is processed separately using conventional coding methods, then the coding process is simple and straightforward, but coding/compression performance is lost due to ignoring correlation between consecutive frames
Solution Approach 1:
The patent performs preliminary matching between patches of the current frame and reference frames before encoding. By pre-establishing correspondence relationships between patches across frames, the method prepares the data structure in advance to exploit temporal correlation, thereby reducing coding loss while maintaining manageable complexity through organized preprocessing
Solution Approach 2:
The patent introduces auxiliary information and matching relationships as intermediaries between the point cloud data of consecutive frames. These intermediaries carry the correlation information between frames, allowing the encoder to efficiently exploit temporal redundancy without directly comparing all data points, thus reducing coding loss while controlling complexity
2Loss of information
If all auxiliary information of M first patches is processed to determine bit quantity, then complete information is available, but data volume and processing complexity increase
Solution Approach 1:
The patent extracts only the necessary auxiliary information from the M first patches by selecting a subset of patches for which auxiliary information needs to be processed. This extraction approach maintains sufficient information completeness for accurate bit quantity determination while significantly reducing the data volume and processing complexity compared to handling all patches
Solution Approach 2:
The patent applies different processing strategies to different patches based on their characteristics and importance. By identifying and prioritizing key patches whose auxiliary information is most critical for coding accuracy, the method achieves information completeness where it matters most while minimizing overall data volume through selective processing
Data Source
AI summary
An encoding method, a decoding method, and an apparatus are provided. The encoding method includes: determining X first patches from M first patches in a current frame, where there is a matching relationship between the X first patches and X second patches, the X second patches are included in a previous frame of the current frame, X is less than or equal to M, and both X and M are positive integers; obtaining auxiliary information of the X first patches and auxiliary information of X second patches; obtaining X groups of auxiliary information differences based on the auxiliary information of the X first patches and the auxiliary information of the X second patches; and encoding the X groups of auxiliary information differences. The encoding method improves coding performance by using a correlation between point cloud data of two adjacent frame.