Point Cloud Decoding Using Multi-Reference Inter Prediction
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Solution Overview
Problem
Existing point cloud encoding techniques lack effective inter prediction methods, leading to undermined compression performance due to reliance on a single reference frame, which is susceptible to noise and defects.
Innovation Solution
A point cloud decoding device and method that perform inter prediction using a plurality of reference frames during Predictive coding, enhancing the selection of appropriate predictors and improving compression performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If inter prediction is not performed using multiple reference frames, then the decoding process is simpler, but compression performance deteriorates
Solution Approach 1:
The patent segments the reference frames into multiple temporal references (first reference frame, second reference frame, etc.) and processes them through separate prediction paths. The prediction unit divides the prediction task into intra-prediction (using current frame) and inter-prediction (using historical frames), allowing complex multi-frame processing to be managed through systematic segmentation of prediction operations.
Solution Approach 2:
The patent implements preliminary action by storing multiple historical reference frames in advance before the current frame needs to be decoded. The frame memory retains past frames so that when inter-prediction is needed, the necessary reference data is already available, eliminating the need for complex real-time frame generation and improving overall compression efficiency.
2Device complexity
If only one reference frame is used, then the system is simpler, but compression performance deteriorates when the reference frame contains noise or defects
Solution Approach 1:
The patent merges multiple reference frames into a unified prediction process where the prediction unit combines information from the current frame, first reference frame, and second reference frame. This merging allows the system to aggregate reliable information across multiple sources, compensating for noise or defects in any single frame through the combined strength of multiple references.
Solution Approach 2:
The patent implements feedback mechanisms where the decoding unit evaluates prediction results and can switch between different reference frames based on quality assessment. When noise or defects are detected in a reference frame, the system feedback-adjusts by selecting alternative cleaner references, ensuring reliable prediction while maintaining simple frame management through automated selection.
Data Source
AI summary
A point cloud decoding device 200 includes: a circuit that performs inter prediction using a plurality of reference frames during Predictive coding.