Video Intra-Prediction Using Adaptive Weighted Reference Samples
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video signal encoding and decoding methods face inefficiencies in performing intra-prediction, particularly in deriving reference samples and prediction samples for high-resolution and stereographic content, leading to increased data transmission and storage costs.
Innovation Solution
A method and apparatus for encoding and decoding video signals that derive a prediction sample based on a weighted sum of reference samples, using adaptive determination of sample positions and weights based on the block size and shape, specifically in Planar mode, to efficiently generate prediction samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional intra-prediction methods are used for high-resolution content, then encoding complexity increases, but prediction accuracy deteriorates
Solution Approach 1:
The patent segments the reference sample derivation process into distinct components: horizontal reference sample generation, vertical reference sample generation, and planar prediction sample generation. Each segment handles specific directional predictions, reducing overall encoding complexity while maintaining accuracy through specialized processing for each segment.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating and storing horizontal and vertical reference samples before generating the final planar prediction. This preliminary derivation of reference samples from neighboring blocks reduces the computational burden during actual prediction, improving efficiency without sacrificing accuracy.
2Measurement precision
If more reference samples are used for prediction, then prediction quality improves, but data transmission and storage costs increase
Solution Approach 1:
The patent merges horizontal and vertical prediction samples through a weighted sum to generate the final planar prediction. This combining approach utilizes multiple reference samples effectively, improving prediction quality by leveraging both directional information while avoiding the need to transmit and store separate prediction data for each direction.
Solution Approach 2:
The patent changes parameters by using adaptive weighting coefficients for combining reference samples. Instead of treating all reference samples equally, the method adjusts weights based on their reliability and position, improving prediction quality while maintaining efficient data representation through parameter optimization rather than increased data quantity.
Data Source
AI summary
A method for decoding a video according to the present invention may comprise: deriving a reference sample for a current block, determining an intra prediction mode of the current block, and obtaining a prediction sample for the current block by using the reference sample and the intra prediction mode.