Polygonal Mesh Compression Prediction Method Selection
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Solution Overview
Problem
Existing mesh compression techniques face challenges in efficiently coding positions and UV values, particularly in determining the most accurate prediction method between across-parallelogram and reflection predictions to minimize prediction residuals and signaling overhead.
Innovation Solution
The method involves determining whether to use an across-parallelogram prediction or a reflection prediction based on the syntax element in the bitstream, predicting the position of vertices or UV coordinates using the selected method, and encoding a syntax element indicating the prediction method using context modeling with a determined context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If across-parallelogram prediction is used to predict vertex positions, then prediction accuracy is improved, but signaling overhead increases
Solution Approach 1:
The patent dynamically selects between across-parallelogram prediction and reflection prediction based on local mesh characteristics. The prediction method is not fixed but adapts to the specific geometric context of each vertex being predicted, allowing the system to use across-parallelogram prediction only when it provides superior accuracy while avoiding unnecessary signaling overhead in cases where reflection prediction suffices
Solution Approach 2:
The patent changes the prediction parameter (choice of prediction method) based on the encoding context. By analyzing local mesh geometry and determining which prediction method yields smaller residuals, the system optimizes the balance between prediction accuracy and signaling costs by selectively applying across-parallelogram prediction rather than uniformly applying it to all vertices
2Loss of information
If reflection prediction is used to predict vertex positions, then signaling overhead is reduced, but prediction accuracy deteriorates
Solution Approach 1:
The system dynamically switches between reflection prediction and across-parallelogram prediction based on local mesh characteristics. When reflection prediction provides sufficient accuracy, it is used to minimize signaling overhead; when across-parallelogram prediction yields significantly smaller residuals, the system switches to that method, creating a dynamic adaptation to local geometric conditions
Solution Approach 2:
The prediction parameter (method selection) is changed based on encoding context and local mesh geometry. The system evaluates which prediction method produces smaller residuals for each vertex and adjusts the prediction approach accordingly, optimizing the trade-off between signaling efficiency and reconstruction accuracy on a per-vertex basis
3Productivity
If context modeling is used to encode prediction method, then encoding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements context modeling that uses feedback from previously encoded vertices to determine the probability distribution for encoding the current prediction method. By analyzing the sequence of prediction method selections and updating context probabilities accordingly, the system achieves more efficient arithmetic coding while the context state remains manageable in complexity
Solution Approach 2:
The encoding parameters (context probabilities) are dynamically changed based on the sequence of prediction method selections. The context model adapts its probability estimates as encoding progresses, improving encoding efficiency by exploiting statistical patterns in the selection of prediction methods without requiring excessively complex data structures
Data Source
AI summary
Aspects of the disclosure includes methods and apparatuses for coding a mesh. A method for decoding a mesh includes: receiving coded information including a syntax element indicating one of an across-parallelogram prediction and a reflection prediction to predict a position of one of a current vertex of the mesh and a current point of a two-dimensional (2D) map that is associated with the mesh, determining the one of the across-parallelogram prediction and the reflection prediction to predict the position of the one of the current vertex of the mesh and the current point of the 2D map based on the syntax element, and predicting the position of the one of the current vertex of the mesh and the current point of the 2D map using the determined one of the across-parallelogram prediction and the reflection prediction.