Dependent Quantization for Video Transform Coefficient Coding

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Solution Overview

Problem

Existing video signal processing methods lack efficiency in coding, particularly in handling transform coefficients during encoding and decoding processes.

Innovation Solution

A video signal processing method and device that utilizes dependent quantization by employing different quantizers for transform coefficients, where the state of a second quantized transform coefficient is updated based on a first quantized transform coefficient, and the quantization process is guided by trellis paths and parity bits, allowing for efficient reconstruction and coding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional independent quantization is used for transform coefficients, then the decoding process is simple, but the coding efficiency is insufficient

Engineering Contradiction:

Improvecoding efficiencyVSAvoidquantization process complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The quantization process is segmented into multiple states (first state and second state) with different quantizers. The transform coefficients are processed differently based on their position and the current state, allowing efficient coding while maintaining manageable complexity through structured segmentation of the quantization space.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The quantization process dynamically switches between first and second states based on the value of previously decoded transform coefficients. This dynamic state transition enables adaptive quantization that improves coding efficiency by exploiting correlations between adjacent coefficients while maintaining a relatively simple decoding structure.

Inventive Principle:

Principle #15Dynamics

2Productivity

If dependent quantization with state updates is implemented, then the coding efficiency increases, but the processing complexity increases

Engineering Contradiction:

Improvecoding efficiencyVSAvoidprocessing simplicity

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The decoder prepares multiple candidate states in advance and uses trellis paths to determine the optimal state transitions before final reconstruction. This preliminary preparation of state candidates and transition paths enables efficient dependent quantization while keeping the actual decoding operation relatively simple through pre-computed optimization paths.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The quantization process uses feedback from previously decoded transform coefficients to update the current state and select appropriate quantizers for subsequent coefficients. This feedback mechanism improves coding efficiency by exploiting statistical correlations while maintaining processing simplicity through a systematic state update rule based on parity bits and trellis paths.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If multiple quantizers are used for different transform coefficients, then the reconstruction accuracy improves, but the device complexity increases

Engineering Contradiction:

Improvereconstruction accuracyVSAvoidquantizer management complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Different quantizers are applied to different transform coefficients based on their local characteristics and position within the block. The first quantizer is used for coefficients in the first state, and the second quantizer is used for coefficients in the second state, allowing optimized reconstruction accuracy for each coefficient while managing complexity through localized quantization strategies.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The quantization parameters (quantizers) are changed dynamically based on the state transitions determined by previously decoded coefficients. This parameter adaptation allows the system to achieve higher reconstruction accuracy by selecting appropriate quantizers for different coefficient positions and states while maintaining manageable complexity through systematic parameter switching rules.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20260052249A1Video signal processing method using dependent quantization and device therefor

Publication Date: 2026.02.19 WILUS INSTITUTE OF STANDARDS & TECHNOLOGY INC

AI summary

A video signal decoding device comprises a processor which: determines a particular quantizer for reconstructing a first quantized transform coefficient, the particular quantizer being one of a first quantizer and a second quantizer which are different from each other, the particular quantizer being determined on the basis of the state of the first quantized transform coefficient; reconstructs the first quantized transform coefficient on the basis of the particular quantizer to obtain a reconstructed transform coefficient; and updates the state of a second quantized transform coefficient that is reconstructed after the first quantized transform coefficient, wherein the first quantized transform coefficient and the second quantized transform coefficient are transform coefficients in the current block.