Composite Reference Array for Video Intra Prediction
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Solution Overview
Problem
Current video encoding and decoding methods face challenges in achieving high compression efficiency due to limitations in intra prediction, particularly when dealing with complex spatial redundancies and directional structures within video frames.
Innovation Solution
The method involves forming a composite reference array by projecting multiple reference arrays onto a closest reference array, allowing for more accurate prediction of target pixels using a Gaussian filter, which enhances intra prediction accuracy and compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple reference arrays are projected and combined to form a composite reference array, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The reference samples are segmented into multiple reference arrays based on different spatial regions or directions. Each reference array contains samples from specific neighboring blocks, allowing the prediction process to selectively combine relevant segments rather than processing all samples uniformly, thus improving accuracy while managing complexity.
Solution Approach 2:
Different regions of the reference arrays are treated with different qualities or weights based on their relevance to the target block. The projection process selectively emphasizes locally relevant reference samples while downweighting or excluding less relevant ones, achieving higher prediction accuracy without uniformly increasing complexity across all reference data.
2Measurement precision
If a composite reference array is formed by projecting multiple reference arrays, then intra prediction accuracy is enhanced, but encoding complexity increases
Solution Approach 1:
The multiple reference arrays are projected and combined into a composite reference array before the actual prediction process. This preliminary action organizes and pre-processes the reference data in advance, making the subsequent prediction operation more efficient and accurate while concentrating the complexity work in a preparatory stage rather than during repeated prediction operations.
3Productivity
If reference arrays from different spatial locations are combined, then compression efficiency is improved, but processing complexity increases
Solution Approach 1:
Multiple reference arrays from different spatial locations are merged into a single composite reference array. This combining process integrates diverse reference information that improves prediction accuracy and compression efficiency, while the unified composite structure simplifies subsequent processing compared to handling multiple separate arrays.
Solution Approach 2:
The composite reference array serves multiple functions: it provides reference samples for prediction, enables selective projection of relevant regions, and supports both accurate prediction and efficient processing. This multi-functionality achieves improved compression efficiency without proportionally increasing processing complexity.
Data Source
AI summary
Methods and apparatus for intra prediction in video encoding and decoding using a composite reference array are described. In one exemplary embodiment, the composite reference array is formed from two or more reference arrays of a plurality of reference arrays. The composite reference array can be formed by projecting along a prediction direction, one or more of the plurality of reference arrays onto a reference array closest to the block of the video data being encoded or decoded. The filter coefficients for the interpolation filter are then determined based on the locations of the predictors on different reference arrays. Interpolating reference samples from different reference arrays, the predictor value for a target sample can be obtained.