Intra Prediction Accuracy via Sample Position Parameters
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Solution Overview
Problem
Current video signal processing technologies face inefficiencies in encoding and decoding high-resolution video signals, particularly in intra prediction, leading to increased costs in transmission and storage due to the large data sizes of high-definition and ultra-high definition images.
Innovation Solution
A method and apparatus for multi-tree partitioning in video signal encoding and decoding, which involves generating prediction blocks by performing intra prediction and deriving sample position-based parameters to obtain weighted prediction samples, improving the accuracy of prediction and efficiency of the encoding and decoding process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional intra prediction techniques are used for high-resolution video, then encoding complexity is reduced, but prediction accuracy deteriorates leading to larger data sizes
Solution Approach 1:
The current block is divided into multiple prediction blocks through multi-tree partitioning (quad-tree and binary-tree structures). This segmentation allows different prediction modes and sample position based parameters to be applied to different sub-blocks, improving overall prediction accuracy while managing encoding complexity through hierarchical organization.
Solution Approach 2:
Different prediction modes and sample position based parameters are selectively applied to different prediction blocks within the current block. This local quality approach ensures that each sub-block uses the most appropriate prediction technique for its specific characteristics, improving accuracy without uniformly increasing complexity across the entire block.
2Reliability
If high-resolution video data is transmitted and stored using conventional methods, then image quality is maintained, but transmission and storage costs increase
Solution Approach 1:
Sample position based parameters are derived and applied to modify prediction sample values. These parameter changes enable more accurate prediction by accounting for positional variations within the block, reducing the residual error and thereby reducing the number of bits needed to encode the residual, which lowers transmission and storage requirements while maintaining image quality.
3Measurement precision
If multi-tree partitioning is applied to improve prediction accuracy, then intra prediction performance improves, but encoding complexity increases
Solution Approach 1:
The multi-tree partitioning structure is applied dynamically based on block characteristics. The encoder can adaptively determine whether to apply quad-tree or binary-tree partitioning and select appropriate prediction modes for each partition, allowing the system to optimize between accuracy and complexity based on the specific content being encoded.
Data Source
AI summary
The present invention is related to processing a video signal. A method for decoding a video according to the present invention may comprise generating a prediction block of a current block by performing intra prediction, deriving at least one sample position based parameter based on a position of a first prediction sample in the prediction block, and obtaining a second prediction sample by weighted predicting the first prediction sample based on the at least one sample position based parameter. According to the present invention, encoding/decoding efficiency of a video signal can be improved since intra prediction is performed more accurately.