Point Cloud Decoder Index Prediction Using Neighbor Occupancy
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Solution Overview
Problem
The accuracy of index determination in point cloud compression is low, leading to reduced coding performance, particularly in the context-based adaptive binary arithmetic coding (CABAC) process.
Innovation Solution
A method for determining the index of a current node based on occupied child nodes of a decoded or encoded neighboring node on a specific axis, improving the accuracy of index prediction and thereby enhancing coding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the encoder uses spatial correlation between the current node and surrounding nodes for intra prediction of occupancy bits, then the coding performance is improved through context-based adaptive binary arithmetic coding (CABAC), but the accuracy of the index determination is low, leading to reduced coding performance
Solution Approach 1:
The patent applies preliminary action by determining the index of the current node based on the occupied child nodes of the decoded neighboring node before performing the actual CABAC encoding. This preliminary index determination uses spatial correlation information from already-decoded neighboring nodes to predict the occupancy pattern of the current node, thereby improving the accuracy of context selection and subsequent encoding performance.
2Productivity
If the encoder performs arithmetic encoding based on the index of the current node to implement CABAC, then the geometry bitstream is obtained with better compression, but the low index determination accuracy reduces the overall coding efficiency
Solution Approach 1:
The patent implements feedback by using the decoded neighboring node information to determine the index of the current node. The decoded neighboring nodes provide feedback about the spatial occupancy patterns, which are then used to accurately predict the index of the current node. This feedback mechanism improves the accuracy of index determination, leading to better CABAC encoding efficiency and overall compression performance.
Data Source
AI summary
Embodiments of the disclosure provide a method for index determination and a decoder. The method is applicable to a decoder and includes the following. A first index of a current node is determined based on occupied child nodes of a decoded neighbouring node of the current node on a k-th axis.