Video Block Prediction Using Multi-Model Illumination Compensation
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Solution Overview
Problem
Existing video encoding and decoding technologies face inefficiencies when using intra block copy illumination compensation modes due to poor illumination compensation effects, leading to inaccurate prediction and low encoding and decoding efficiency.
Innovation Solution
Implement a multi-model intra block copy illumination compensation mode that determines multiple groups of linear model parameters and selects a target group for linear transform on the reference block to improve prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a current intra block copy illumination compensation mode is used for prediction, then the compression efficiency is improved, but the illumination compensation effect is poor resulting in inaccurate prediction
Solution Approach 1:
The patent segments the illumination compensation process by dividing the current block into multiple sub-blocks and performing separate illumination compensation for each sub-block. This allows different linear model parameters to be applied to different regions, improving the accuracy of illumination variation modeling while maintaining compression efficiency through selective application to only those blocks requiring compensation.
Solution Approach 2:
The patent introduces dynamic selection of linear model parameters based on local illumination characteristics. By calculating illumination gradients and adaptively choosing parameters for each sub-block, the system dynamically adjusts the compensation strategy to match local conditions, thereby improving prediction accuracy without significantly increasing complexity.
2Measurement precision
If multiple groups of linear model parameters are determined and a target group is selected, then the prediction accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent applies partial action by determining multiple groups of linear model parameters only for selected blocks that exhibit significant illumination variations, rather than for all blocks. A flag mechanism is used to indicate whether multiple parameter groups should be processed, allowing the system to balance accuracy improvements against computational complexity on a block-by-block basis.
Solution Approach 2:
The patent changes parameters by introducing multiple groups of linear model parameters with different illumination compensation characteristics. The encoder and decoder both determine these parameter groups and select the target group based on matching criteria, allowing flexible adaptation to different illumination scenarios while maintaining a systematic approach to parameter management.
Data Source
AI summary
The present disclosure provides video encoding and decoding methods, which include: determining a prediction mode of the current block; determining a reference block of the current block, and determining N groups of linear model parameters, N being a positive integer greater than 1; selecting a target group of linear model parameters from the N groups of linear model parameters, and determining a prediction block of the current block according to the target group of linear model parameters.