3D Mesh Arithmetic Encoding with Previous-Connection Contexts
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Solution Overview
Problem
Existing methods for encoding three-dimensional mesh data struggle to improve compressibility due to the difficulty in applying contexts suitable for the characteristics of the information, leading to suboptimal encoding efficiency.
Innovation Solution
An encoding device that selects contexts for arithmetic encoding based on previous connection types, allowing for improved compressibility by adapting to the specific probability distributions of connection types in three-dimensional meshes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If arithmetic encoding is applied to three-dimensional mesh data without context adaptation, then the encoding process is simple, but the compressibility is insufficient
Solution Approach 1:
The patent changes the parameter of context selection by adapting the context based on the previous connection type encoded. Different connection types (e.g., edge splitting operations) have different probability distributions, so the context parameters are adjusted dynamically according to the encoded sequence, improving compressibility by matching the probability model to the actual data characteristics.
Solution Approach 2:
The patent implements feedback by using the previously encoded connection type to determine the context for the current connection type. This feedback mechanism allows the encoding system to learn from the sequence of connection types and adjust the probability distribution accordingly, thereby improving compression efficiency without requiring complex external analysis.
2Productivity
If fixed contexts are used for arithmetic encoding, then the device complexity is low, but the encoding efficiency is suboptimal
Solution Approach 1:
The patent transitions from static fixed contexts to dynamic adaptive contexts. The context is no longer fixed but changes based on the previous connection type encoded. This dynamic adjustment allows the system to optimize encoding efficiency for each specific connection type while maintaining manageable complexity through rule-based context selection.
3Loss of information
If no context selection is performed, then the processing is simple, but the compressibility cannot be improved
Solution Approach 1:
The patent applies local quality by selecting different contexts based on the specific connection type being encoded. Instead of using a single uniform context for all connection types, the system identifies the local characteristics of each connection type (e.g., edge splitting patterns) and selects the most appropriate context for that specific local case, thereby improving compressibility while keeping the operation straightforward through predefined context mappings.
Data Source
AI summary
Encoding device includes memory and a circuit accessible to the memory. In operation, the circuit: for each of faces forming a three-dimensional mesh, encodes a connection type regarding a connection relationship between the face to be processed and a face not yet processed, using arithmetic encoding based on a context; and in encoding a current connection type, selects the context to be applied to the arithmetic encoding from among contexts using a previous connection type. The current connection type is the connection type to be encoded. The previous connection type is the connection type encoded before the current connection type.


