CABAC Binarization Strategy to Cut Regular Coded Bin Complexity

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Solution Overview

Problem

Existing video encoding and decoding methods face inefficiencies in entropy coding, particularly with regular coded bins, leading to increased complexity and minimal compression gains.

Innovation Solution

Implementing a bypass coding mode for the first binary symbol and regular coding for subsequent symbols in entropy encoding and decoding processes, specifically for syntax elements like the generalized bi-prediction index and motion vector predictor, to reduce complexity without compromising compression efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If all binary symbols are entropy decoded using context-based mode, then compression efficiency is improved, but decoding complexity increases significantly

Engineering Contradiction:
Improvecompression efficiencyVSAvoiddecoding complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent segments the binary symbols into two groups: the first binary symbol is decoded using context-based mode to capture statistical dependencies, while subsequent binary symbols are decoded using bypass mode to reduce complexity. This segmentation resolves the contradiction by applying different decoding strategies to different parts of the bin string.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by using context-based decoding only for the first binary symbol where it provides the most benefit, and bypass decoding for the remaining symbols where the conditional entropy is close to 1 bit. This localized application of context-based mode optimizes the balance between compression efficiency and decoding complexity.

Inventive Principle:
Principle #3Local quality

2Loss of energy

If context-based mode is used for all bins, then compression performance is improved, but computational requirements increase

Engineering Contradiction:
Improvecompression performanceVSAvoidcomputational requirements
Core Design Contradiction:
Loss of energyVSUse of energy by moving object

Solution Approach 1:

The patent applies partial action by using context-based mode only for the first binary symbol instead of all binary symbols. This partial application provides sufficient compression performance while significantly reducing computational requirements for the remaining symbols that can be efficiently decoded using bypass mode.

Inventive Principle:
Principle #16Partial or excessive action

3Device complexity

If the number of regular coded bins is reduced, then decoding complexity is reduced, but compression efficiency may be compromised

Engineering Contradiction:
Improvedecoding complexityVSAvoidcompression efficiency
Core Design Contradiction:
Device complexityVSLoss of energy

Solution Approach 1:

The patent changes the parameter of decoding mode from context-based to bypass mode for subsequent binary symbols. This parameter change reduces decoding complexity while the impact on compression efficiency is minimal because these symbols have conditional entropy close to 1 bit, meaning they contain less information that could be compressed.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12621453B2Reducing the number of regular coded bins in entropy coding in video encoding and decoding
Publication Date: 2026.05.05 INTERDIGITAL VC HOLDINGS INC
  • US12621453B2 patent drawing
  • US12621453B2 patent drawing
  • US12621453B2 patent drawing

AI summary

To encode with CABAC, a non-binary syntax element value is mapped to a binary sequence (bin string), through a binarization process. A binary arithmetic coding engine encodes or decodes a bin, in a regular (context-based) mode and a bypass mode.