Point Cloud Attribute Prediction Modes for Efficient Compression
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Solution Overview
Problem
Current point cloud compression methods, such as RAHT, fail to fully utilize the correlation between the spatial and time domains, resulting in low attribute encoding efficiency.
Innovation Solution
Implementing a method to determine flag information for optimal prediction modes in point cloud layers, using flag information to indicate the optimal prediction mode and determine attribute prediction values based on this mode, thereby enhancing encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RAHT attribute inter encoding is performed, then attribute information can be encoded, but the correlation between spatial domain and time domain is not fully utilized resulting in low encoding efficiency
Solution Approach 1:
The patent applies preliminary action by performing temporal prediction using motion compensation before the main RAHT encoding process. The encoder predicts attribute values at current time based on previously encoded attributes at previous times, and encodes only the prediction residuals. This preliminary temporal prediction step removes redundancy before the spatial RAHT transform, thereby improving overall encoding efficiency while maintaining the RAHT framework.
2Adaptability or versatility
If multiple prediction modes are supported, then encoding flexibility is improved, but encoding complexity increases
Solution Approach 1:
The patent implements partial action by providing multiple prediction mode flags (intra prediction mode flag and inter prediction mode flag) that can be selectively used depending on the encoding scenario. The encoder can choose to use intra prediction, inter prediction, or both, with conditional encoding of their respective flags. This provides flexibility while controlling complexity by only fully implementing the prediction modes that are most beneficial for different types of point cloud data.
Data Source
AI summary
A decoding method applied to a decoder includes: decoding a bitstream to determine flag information of a first prediction mode corresponding to nodes in a current layer; where the flag information of the first prediction mode is used for indicating an optimal prediction mode of the nodes in the current layer; determining the optimal prediction mode corresponding to the nodes in the current layer based on the flag information of the first prediction mode; and determining attribute prediction values of the nodes in the current layer based on the optimal prediction mode corresponding to the nodes in the current layer.


