Mesh Residual Entropy Coding for Lower Signaling Overhead
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Solution Overview
Problem
Existing mesh coding techniques face inefficiencies in signaling requirements and bit allocation for residual signs, particularly in 3D mesh processing, leading to excessive bit rate overhead and suboptimal coding efficiency.
Innovation Solution
Adaptive entropy coding of residual signs in mesh processing, utilizing a maximum value for arithmetic coding and considering bit depth, to reduce redundancy and improve coding efficiency by exploiting correlations in sign sequences and optimizing bit allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional mesh coding techniques are used, then the coding process is simple, but the bit rate overhead is excessive and coding efficiency is suboptimal
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the maximum value for arithmetic coding based on bit depth. The system changes the coding parameters adaptively - using arithmetic coding for residuals within the range [2, 2^bit_depth-1] and alternative coding for larger values. This parameter adaptation resolves the contradiction by optimizing bit allocation to reduce overhead while maintaining coding efficiency for different residual magnitudes.
Solution Approach 2:
The patent implements dynamics through adaptive entropy coding that adjusts its behavior based on the current residual values and bit depth. The system dynamically switches between different coding strategies (arithmetic coding vs. other methods) depending on the residual magnitude relative to the maximum value. This dynamic approach allows the system to minimize bit rate overhead while maintaining high coding efficiency across varying conditions.
2Productivity
If adaptive entropy coding with arithmetic coding is used, then coding efficiency is improved, but the complexity of the coding system increases
Solution Approach 1:
The patent applies segmentation by dividing the residual coding process into distinct segments based on magnitude ranges. The system segments residuals into two categories: those within the arithmetic coding range [2, 2^bit_depth-1] and those exceeding it. This segmentation allows each segment to be handled by the most appropriate coding method, improving overall efficiency while managing complexity through clear, rule-based division of labor.
Solution Approach 2:
The patent uses parameter changes to manage complexity by establishing clear thresholds and ranges for different coding methods. By defining the arithmetic coding range based on bit depth (2^bit_depth-1), the system creates simple, rule-based decision logic that improves efficiency without proportionally increasing complexity. The parameter-based approach makes the complex adaptive system predictable and manageable.
3Adaptability or versatility
If the maximum value for arithmetic coding is increased, then larger residuals can be encoded, but the bit rate overhead increases
Solution Approach 1:
The patent applies parameter changes by setting the maximum value for arithmetic coding based on bit depth (2^bit_depth-1). This parameter adaptation allows the system to encode larger residuals when necessary while avoiding excessive bit rate overhead for smaller residuals. The bit depth-dependent parameter selection ensures that the coding range is just sufficient for the given precision requirements, optimizing the trade-off between adaptability and overhead.
Solution Approach 2:
The patent implements partial action by applying arithmetic coding only to the extent necessary - specifically for residuals within the range [2, 2^bit_depth-1]. For larger residuals, the system uses alternative coding methods. This partial application of arithmetic coding (only where most efficient) improves encoding capability for common cases without incurring the full overhead cost of always using the most versatile method.
Data Source
AI summary
Aspects of the disclosure includes methods and apparatuses for mesh coding. The method includes receiving coded information of a bitstream of a mesh that includes a plurality of residuals. The method includes performing entropy decoding on a current residual in the plurality of residuals based on a maximum value for arithmetic coding and a type of entropy coding for a sign of the current residual in the plurality of residuals, and reconstructing the mesh based on the entropy decoded current residual. The sign of the current residual is determined based on a previous sign and whether the sign of the current residual is flipped from the previous sign, or the maximum value for the arithmetic coding is based on a bit depth associated with the current residual.