Point Cloud Decoder Level Partition Syntax Element
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Solution Overview
Problem
In the field of video coding, existing methods for level partition of point clouds require manual setting of the number of levels for detail of partition, leading to inconsistencies between the set value and actual number of divided levels, especially in geometric-based point cloud compression frameworks.
Innovation Solution
A method for level partition of point clouds that involves decoding a point cloud bitstream to determine the number of levels of detail (LODs) based on a maximum permissible value of a syntax element, ensuring consistency between the set and actual number of levels through adaptive determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the number of LOD levels is manually set to a large number in generic test conditions, then the partition detail is improved, but the consistency between set value and actual number of divided levels deteriorates
Solution Approach 1:
The system automatically determines the number of LOD levels by decoding the syntax element from the point cloud bitstream, eliminating the need for manual configuration. The decoder self-adjusts the partition detail based on the encoded information, ensuring both high partition detail and consistency between set and actual levels without requiring external manual intervention.
2Ease of operation
If manual setting of LOD levels is used, then the ease of operation is improved, but the adaptability to different point cloud geometries deteriorates
Solution Approach 1:
The system changes the parameter (number of LOD levels) dynamically based on the point cloud geometry characteristics encoded in the bitstream. By decoding the syntax element that adapts to different geometries, the system maintains ease of operation through automated parameter adjustment while achieving high adaptability to various point cloud structures.
3Manufacturing precision
If the number of LOD levels is increased, then the partition precision is improved, but the decoding complexity deteriorates
Solution Approach 1:
The number of LOD levels is predetermined and encoded in the point cloud bitstream during the encoding phase. The decoder simply decodes this pre-determined value rather than calculating or determining it during decoding, which maintains high partition precision while significantly reducing decoding complexity.
Data Source
AI summary
A method for level partition of a point cloud includes that: a point cloud bitstream is decoded; a maximum permissible value of a first syntax element in the point cloud bitstream is determined as a constant value; the first syntax element is decoded to obtain a value of the first syntax element; a number of levels of detail (LODs) in a process of decoding the attribute information is determined according to the value of the first syntax element; and the attribute information is decoded according to the number of the LODs and the geometry information, to determine a reconstructed point cloud of the point cloud.