Video Intra Prediction Using Weighted Reference Samples
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Solution Overview
Problem
Current video signal encoding and decoding methods face inefficiencies in performing intra-prediction, particularly with high-resolution and stereographic content, as they rely on limited reference samples and lack effective weighted prediction techniques.
Innovation Solution
A method and apparatus for encoding and decoding video signals that determine an intra prediction mode, generate prediction samples using weighted sums of multiple reference samples, including those on the same horizontal or vertical lines, with weights based on sample positions, to efficiently predict target samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional intra-prediction methods are used with limited reference samples, then device complexity is reduced, but manufacturing precision (prediction accuracy) deteriorates
Solution Approach 1:
The prediction process is segmented into multiple stages: generating multiple prediction samples from different reference samples, calculating weights for each prediction sample, and combining them through weighted summation. This segmentation allows each stage to be optimized independently, improving overall prediction accuracy without overwhelming complexity
Solution Approach 2:
The patent transitions from using a single reference sample to utilizing multiple reference samples along horizontal and vertical lines, adding dimensional diversity to the prediction process. This multi-dimensional approach enables more accurate predictions by considering variations in different directions
2Manufacturing precision
If multiple reference samples are used for weighted prediction, then prediction accuracy improves, but processing time increases
Solution Approach 1:
Reference samples along horizontal and vertical lines are pre-identified and prepared before the actual prediction process. This preliminary action reduces the computational burden during prediction by having the reference data ready, thus improving accuracy without proportionally increasing processing time
Solution Approach 2:
The patent introduces weight parameters that dynamically adjust the contribution of each reference sample based on its relevance. By changing these parameters adaptively, the system achieves high prediction accuracy while minimizing processing time by focusing computational resources on the most significant reference samples
3Manufacturing precision
If conventional intra-prediction is used for high-resolution content, then data transmission costs are reduced, but prediction accuracy deteriorates
Solution Approach 1:
Instead of using all available reference samples equally, the patent applies partial action by selectively using reference samples from specific directions (horizontal and vertical lines) and assigning weights based on their importance. This approach achieves high prediction accuracy for high-resolution content without proportionally increasing data processing requirements
Data Source
AI summary
A method for decoding a video according to the present invention may comprise: determining an intra prediction mode of a current block, determining, based on the intra prediction mode, a first reference sample of a prediction target sample included in the current block, generating a first prediction sample for the prediction target sample using the first reference sample, and generating a second prediction sample for the prediction target sample using the first prediction sample and a second reference sample located at a position different from the first reference sample.


