Color Component Prediction Using Thresholded Reference Samples
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Solution Overview
Problem
The computational complexity and non-uniformity in model parameter derivation for colour component prediction in video coding, particularly in VVC, due to varying numbers of available neighbouring reference samples, lead to inefficiencies.
Innovation Solution
A method for colour component prediction that determines a first reference sample set, uses a preset value when samples are insufficient, screens for a second set when sufficient, and derives model parameters only when the second set meets a threshold, thereby standardizing the process and reducing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of neighbouring reference samples used for model parameter derivation varies, then the prediction accuracy can be maintained under different conditions, but the computational complexity increases and additional processing is added
Solution Approach 1:
The patent changes the parameter of reference sample selection by introducing a threshold value (e.g., 4 samples). When the number of available reference samples meets the threshold, model parameter derivation is performed; when it does not meet the threshold, a default mode is used. This parameter-based conditional processing resolves the contradiction by maintaining prediction accuracy when sufficient samples are available while avoiding unnecessary computational complexity when samples are insufficient.
2Adaptability or versatility
If model parameter derivation is performed based on varying numbers of reference samples, then adaptability to different coding block positions is achieved, but processing uniformity is lost and complexity increases
Solution Approach 1:
The patent segments the reference sample selection process into two distinct segments: (1) when the number of available samples meets the threshold, perform model parameter derivation; (2) when it does not meet the threshold, use default mode. This segmentation provides adaptability to different coding block positions while maintaining processing uniformity through clear conditional boundaries, thereby resolving the contradiction.
3Reliability
If additional processing is added to handle varying reference sample counts, then prediction performance is maintained, but processing time and computational load increase
Solution Approach 1:
The patent performs preliminary action by pre-establishing a threshold value for reference sample count (e.g., 4 samples) before actual prediction processing. During encoding and decoding, this pre-set threshold enables rapid conditional judgment: if the sample count meets the threshold, proceed with model parameter derivation; otherwise, directly use default mode. This preliminary setup maintains prediction performance while significantly improving processing efficiency by avoiding complex runtime decisions.
Data Source
AI summary
Colour component prediction method is provided, which includes that: first reference sample set corresponding to colour component to be predicted of coding block in video image is acquired; when available sample number in first reference sample set is less than preset number, preset component value is taken as predicted value corresponding to the colour component to be predicted; when available sample number in first reference sample set is not less than preset number, first reference sample set is screened to obtain second reference sample set; when available sample number in second reference sample set is equal to preset number, model parameter is determined through second reference sample set, and prediction model corresponding to colour component to be predicted is obtained based on model parameter, prediction model is used for prediction processing of colour component to be predicted to obtain predicted value corresponding to colour component to be predicted.