Residual Coefficient Encoding/Decoding with Adaptive Entropy-Group Scanning
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality video leads to increased data amounts, resulting in higher transmission and storage costs due to conventional compression techniques.
Innovation Solution
A method and apparatus for video encoding/decoding that improves efficiency by dividing residual blocks into entropy groups, applying adaptive block division, and using different scan orders and entropy decoding schemes for each group, with variable determination based on encoding information and position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional compression techniques are used for high-resolution, high-quality video, then image quality is maintained, but transmission cost and storage cost increase
Solution Approach 1:
The patent divides the residual block into multiple entropy groups (first entropy group, second entropy group, etc.) based on frequency bands. Each group is processed separately with customized scan orders and decoding schemes, enabling finer-grained compression control that maintains image quality while reducing data量
Solution Approach 2:
Different entropy groups are assigned different scan orders and entropy decoding schemes according to their specific characteristics. This local differentiation allows optimal compression parameters to be applied to each frequency band, improving compression efficiency without sacrificing quality
2Productivity
If residual blocks are processed using uniform methods, then processing simplicity is maintained, but encoding/decoding efficiency is reduced
Solution Approach 1:
The residual block is segmented into multiple entropy groups, each handled by specialized scan orders and decoding schemes. This segmentation enables parallel processing and optimized operations for different frequency components, boosting overall efficiency
Solution Approach 2:
The patent dynamically selects scan orders and decoding schemes based on the specific characteristics of each entropy group. This adaptive approach allows the system to optimize performance for different content types and frequency bands without requiring complex manual configuration
Data Source
AI summary
The encoding/decoding method and apparatus according to the present invention derives a residual coefficient of a residual block, calculates a quantization parameter for a residual block, performs dequantization on a residual coefficient using a quantization parameter, and performs inverse transform on a dequantized residual coefficient to reconstruct a residual sample of a residual block.