Cross-Component Chroma Prediction with Two-Point Linear Modeling
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Solution Overview
Problem
Existing video encoding methods, particularly the Joint Exploration Model (JEM), are computationally complex due to the complex derivation of linear model parameters for chroma prediction, which affects coding efficiency and complexity.
Innovation Solution
The method involves determining the parameters of a linear model for chroma prediction using a straight line defined by two sample pairs in the neighborhood of the block, reducing the number of sample pairs used for parameter derivation and avoiding least mean square methods, thereby simplifying computations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional down-sampling methods are used to reduce component count, then device complexity and cost are reduced, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent transforms physical component measurements into electrical signal measurements by changing the measurement parameter from mechanical/dimensional to electrical domain, enabling accurate prediction with fewer physical components through signal processing techniques
Solution Approach 2:
The patent introduces signal processing algorithms and mathematical models as intermediaries between the reduced component set and the final measurement results, allowing accurate prediction of unmeasured components based on measurements from fewer components
2Measurement precision
If more components are measured, then measurement precision improves, but measurement time and productivity worsen
Solution Approach 1:
The patent extracts and measures only the most critical components that contain the essential information needed for accurate prediction, eliminating the need to measure all components while maintaining measurement precision through selective sampling
Solution Approach 2:
The patent performs preliminary identification of key components and establishes prediction models in advance, allowing rapid measurement of selected components without compromising the ability to accurately predict overall system characteristics
3Measurement precision
If complex down-sampling schemes are used, then measurement precision is maintained, but device complexity and ease of operation worsen
Solution Approach 1:
The patent enables the measurement system to automatically identify key components, select appropriate down-sampling strategies, and perform predictions without requiring complex manual configuration or expert intervention, simplifying operation while maintaining precision
Data Source
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AI summary
The disclosure regards cross-component prediction and methods for deriving of a linear model for obtaining a first-component sample for a first-component block from an associated reconstructed second-component sample of a second-component block in the same frame, the method comprising determining the parameters of a linear equation representing a straight line passing through two points, each point being defined by two variables, the first variable corresponding to a second-component sample value, the second variable corresponding to a first-component sample value, based on reconstructed samples of both the first-component and the second-component; and deriving the linear model defined by the straight line parameters.