Adaptive Intra Prediction Filtering for Video Block Coding
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Solution Overview
Problem
Existing video signal processing methods require more efficient coding techniques to enhance coding efficiency and signaling efficiency related to motion information sets.
Innovation Solution
A video signal processing method that involves deriving an intra-prediction mode, configuring reference samples, generating prediction samples using interpolation filters based on filter flags, and reconstructing blocks with specific filter coefficients, and includes intra-sub-partition modes for splitting blocks into rectangular transform blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video compression techniques are used, then basic compression is achieved, but coding efficiency is insufficient
Solution Approach 1:
The patent applies parameter changes by dynamically selecting transform kernels based on prediction mode and block characteristics. Different transform kernels (e.g., DCT, DST, KST) are chosen to optimize the transformation of residual signals, improving coding efficiency while maintaining video quality through adaptive parameter selection rather than fixed conventional transforms
2Measurement precision
If more detailed motion information is signaled, then prediction accuracy improves, but signaling overhead increases
Solution Approach 1:
The patent segments the prediction process by dividing blocks into sub-blocks and applying different transform kernels to different regions based on local characteristics. This segmentation allows precise adaptation to local video content without signaling detailed motion information for every sub-region, reducing overhead while maintaining prediction accuracy
Solution Approach 2:
The patent introduces dynamic selection of transform kernels based on prediction mode and block characteristics. Instead of static conventional transforms, the system dynamically adapts the transformation process to match local video content, improving prediction accuracy without requiring additional signaling for motion parameters
3Ease of manufacture
If a single transform kernel is used for all blocks, then processing is simple, but transform suitability for specific blocks is poor
Solution Approach 1:
The patent applies local quality by selecting different transform kernels for different blocks based on their specific characteristics such as prediction mode and content type. Instead of uniform processing, each block receives an optimized transform kernel (e.g., DST for directional predictions, DCT for others), improving transform efficiency while keeping the overall process manageable through systematic selection rules
4Productivity
If intra-sub-partition modes are applied, then block transformation is optimized, but processing complexity increases
Solution Approach 1:
The patent segments blocks into sub-blocks for independent transform processing, allowing optimized kernel selection for each sub-region. This segmentation improves transformation efficiency by adapting to local characteristics while the segmentation follows systematic patterns that manage processing complexity through regular division schemes
Data Source
AI summary
A video signal processing method includes: a step for deriving an intra prediction mode of a current block; a step for constructing a reference sample around the current block; a step for generating a prediction sample of the current block by using the reference sample on the basis of the intra prediction mode; and a step for restoring the current block on the basis of the prediction sample. The step for generating the prediction sample may include: a step for setting a filter flag value which specifies a filter coefficient of an interpolation filter applied to the reference sample on the basis of the width and height of the current block; and a step for performing filtering on the reference sample by using the interpolation filter having the filter coefficient specified by the filter flag.