Adaptive Intra-Prediction for Accurate Non-Square Block Video Coding
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Solution Overview
Problem
Existing video encoding technologies struggle to efficiently process next-generation video contents with high spatial resolution and high frame rates due to increased memory storage and processing demands, particularly when dealing with non-square blocks in intra-prediction.
Innovation Solution
Adaptive methods are employed to configure reference samples and intra-prediction modes based on the shape of non-square blocks, split transform units accordingly, and distribute prediction directions to optimize encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intra-prediction is performed using conventional reference sample configuration methods, then encoding simplicity is maintained, but prediction accuracy degrades for non-square blocks
Solution Approach 1:
The patent applies local quality by configuring reference samples differently based on the specific shape characteristics of non-square blocks. Different reference sample configurations are used for different block orientations (horizontal vs vertical non-square blocks), optimizing prediction accuracy for each local case rather than using a uniform approach.
Solution Approach 2:
The patent implements dynamics by adaptively selecting and configuring reference samples based on the actual block shape parameters. The reference sample configuration changes dynamically according to the width-height ratio and orientation of each non-square block, allowing the system to optimize for each specific case.
2Reliability
If transform units are not split in non-square blocks, then processing simplicity is maintained, but prediction error increases
Solution Approach 1:
The patent applies segmentation by dividing non-square blocks into multiple transform units based on their shape characteristics. Horizontal non-square blocks are split into multiple horizontal transform units, while vertical non-square blocks are split into multiple vertical transform units, improving prediction reliability for each segment.
3Productivity
If uniform prediction directions are used for all blocks, then implementation simplicity is maintained, but coding performance degrades for non-square blocks
Solution Approach 1:
The patent applies local quality by distributing prediction directions differently based on block orientation. Horizontal non-square blocks receive prediction directions optimized for horizontal characteristics, while vertical non-square blocks receive prediction directions optimized for vertical characteristics, improving coding performance for each local case.
Data Source
AI summary
Disclosed are an intra-prediction mode-based image processing method and a device therefor. Particularly, a method for processing an image on the basis of an intra-prediction mode may comprise the steps of: configuring a reference sample to be used for prediction of a current block on the basis of width information and height information of the current block when the current block is a non-square block; deriving an intra-prediction mode of the current block; and generating a prediction sample of the current block by using the reference sample on the basis of the intra-prediction mode of the current block.