Video Intra Prediction Using Sub-Block Modes and Weighted References
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Solution Overview
Problem
Existing video encoding/decoding technologies face challenges in efficiently performing intra-prediction for high-resolution and high-quality video signals, particularly in managing large data volumes and optimizing intra prediction modes.
Innovation Solution
A method and apparatus for encoding/decoding video signals that utilize a weighted prediction using multiple reference samples and intra prediction modes, determining and combining prediction samples from sub-blocks with varying modes and applying weights based on their positions and mode differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple intra prediction modes are used for different sub-blocks, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The current block is divided into multiple sub-blocks, and different intra prediction modes are applied to different sub-blocks. This segmentation allows the patent to improve prediction accuracy by adapting to local variations in the block while managing complexity through structured division rather than treating the entire block uniformly.
Solution Approach 2:
Different prediction modes are selected for different sub-blocks based on their local characteristics. The patent determines prediction modes adaptively for each sub-block, allowing local optimization of prediction accuracy while maintaining overall system manageability through the sub-block structure.
2Measurement precision
If multiple reference samples are used for weighted prediction, then prediction accuracy is improved, but loss of time increases
Solution Approach 1:
Reference samples are collected and prepared in advance from neighboring blocks and previous frames. The patent performs preliminary gathering of multiple reference samples before the weighted prediction process, which reduces the time required during the actual prediction operation by having the data ready beforehand.
Solution Approach 2:
The patent uses multiple reference samples (excessive action) to improve prediction accuracy, but applies weighted averaging to combine them efficiently. This approach balances the benefit of using multiple samples against the computational time by using a systematic weighting scheme rather than processing all possible reference samples equally.
3Manufacturing precision
If high-resolution video signals are encoded, then image quality is improved, but quantity of substance increases
Solution Approach 1:
The video signal is processed in block and sub-block units, allowing efficient encoding of high-resolution content by breaking it into manageable segments. This segmentation enables application of compression techniques at multiple levels, reducing the overall data volume while maintaining high-resolution image quality.
Solution Approach 2:
The patent employs multiple intra prediction modes and weighted prediction techniques that change the encoding parameters adaptively based on block characteristics. By optimizing prediction accuracy through parameter selection, the residual data requiring compression is reduced, thereby decreasing the quantity of data to be stored or transmitted while maintaining high image quality.
Data Source
AI summary
A method for decoding a video according to the present invention may comprise: determining a first prediction mode for a first sub-block in a current block and a second intra prediction mode for a second sub-block, performing a first prediction for the first sub-block based on the first intra prediction mode, performing a second prediction for the second sub-block based on the second intra prediction mode, and obtaining a prediction sample of the current block according to a result of the first prediction and the second prediction.