Encoder Quantization Matrix Selection for Video Coding Efficiency
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Solution Overview
Problem
Existing video coding technologies face challenges in optimizing coding efficiency and reducing processing complexity while maintaining subjective image quality, especially when dealing with increasing amounts of digital video data.
Innovation Solution
An encoder and decoder system that dynamically determines whether to use a quantization matrix based on the presence of orthogonal and secondary transforms, allowing for efficient quantization of transform coefficients and reducing processing complexity without compromising subjective image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quantization matrix is used for all transform coefficients, then coding efficiency is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent applies different quantization strategies to different regions of the transform coefficient block. Specifically, it uses a first quantization matrix for a first region and a second quantization matrix for a second region, allowing optimization of coding efficiency in specific areas without unnecessarily increasing complexity across the entire block. This selective application of quantization matrices resolves the contradiction by making the processing complexity localized rather than universal.
2Manufacturing precision
If quantization matrix is applied to all blocks, then subjective image quality is maintained, but encoding speed decreases
Solution Approach 1:
The patent divides the transform coefficient block into multiple regions and applies quantization matrices selectively to different regions based on their characteristics. This segmentation allows the encoder to maintain image quality in critical regions while skipping quantization matrix application in regions where it would not significantly impact quality, thereby improving encoding speed without sacrificing overall subjective image quality.
3Productivity
If multiple quantization matrices are used for different regions, then coding efficiency is improved, but ease of operation decreases
Solution Approach 1:
The patent determines the division of regions and selection of quantization matrices in advance based on transform coefficient characteristics, and encodes this information in the bitstream. This preliminary action allows the decoder to reconstruct the same region division and quantization matrix selection without complex real-time decision-making, thereby maintaining coding efficiency while simplifying the encoding process operation.
Data Source
AI summary
An encoder includes circuitry and memory coupled to the circuitry. In operation, the circuitry: performs quantization on a plurality of transform coefficients of a current block to be encoded, using a quantization matrix when orthogonal transform is performed on the current block and secondary transform is not performed on the current block; and performs quantization on the plurality of transform coefficients of the current block without using the quantization matrix when orthogonal transform is not performed on the current block and when both orthogonal transform and secondary transform are performed on the current block.