Adaptive Rice Parameter Selection for Video Residual Coding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality video content has led to challenges in efficiently encoding and decoding video signals, particularly in managing residual coefficients, which affects compression efficiency.
Innovation Solution
Adaptive selection of a Rice parameter for binarization of residual coefficients in video signal encoding and decoding, based on context information and block characteristics, including the use of inverse transforms and syntax values derived from reference residual coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality video content is used, then image quality is improved, but data volume and transmission/storage expenses increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the Rice parameter (cRiceParam) based on the sum of absolute values of residual coefficients. This adaptive parameter selection optimizes the binarization process for different residual magnitudes, improving compression efficiency without sacrificing image quality. The method changes the encoding parameter (Rice parameter) according to the actual content characteristics, resolving the contradiction between maintaining high image quality and reducing data volume.
2Quantity of substance
If compression technologies are applied to reduce data volume, then transmission and storage expenses are reduced, but encoding/decoding complexity increases
Solution Approach 1:
The patent implements self-service by using the residual coefficient values themselves to determine the encoding parameters. The sum of absolute values of residual coefficients automatically selects the appropriate Rice parameter without requiring external complex analysis or manual intervention. This self-adaptive mechanism reduces encoding/decoding complexity while maintaining effective compression, as the system uses its own output (residual coefficients) to control its own encoding process.
3Productivity
If adaptive Rice parameter selection is implemented, then compression efficiency is improved, but calculation overhead increases
Solution Approach 1:
The patent applies partial action by calculating the Rice parameter adaptation only for significant residual coefficients rather than uniformly processing all coefficients. The method uses a threshold-based approach where the sum of absolute values determines whether adaptation is needed, avoiding unnecessary calculations for already-compressed regions. This selective adaptation improves compression efficiency while minimizing additional calculation overhead.
Data Source
AI summary
A method of decoding an image according to the present disclosure includes determining whether an inverse transform is skipped to a current block, parsing information on a residual coefficient of the current block, reconstructing the residual coefficient by inversely binarizing the information and selectively applying the inverse transform to the residual coefficient. In this case, the inverse binarization may be performed based on a rice parameter for the residual coefficient and the rice parameter may be derived based on a first variable derived based on a sum of absolute values of reference residual coefficients.