Video Block Intra-Prediction Filter Coefficient Selection
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Solution Overview
Problem
Current video compression techniques face challenges in achieving improved compression ratios with minimal sacrifice in image quality, especially in limited bandwidth and storage resource scenarios.
Innovation Solution
A method involving a coding and decoding device that determines a prediction direction and propagation distance for a current block, selects filter coefficients based on this distance, and uses these coefficients to predict pixels using a filter, thereby optimizing video compression and decompression processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video data is compressed to reduce data size for limited bandwidth and storage, then compression ratio is improved, but image quality deteriorates
Solution Approach 1:
The patent applies different filter strengths (weak, medium, strong) to different regions of the video data based on propagation distance. Reference samples closer to the current block use weaker filters to preserve detail, while those farther away use stronger filters to smooth out errors, achieving local optimization of both compression and quality
Solution Approach 2:
The patent dynamically selects filter coefficients based on propagation distance, which varies for different pixels and blocks. This dynamic adaptation allows the system to optimize filtering strength according to the specific geometric relationship between reference samples and current blocks, improving overall compression efficiency while maintaining quality
2Quantity of substance
If compression techniques are intensified to achieve better compression ratios, then data size is reduced, but complexity of compression and decompression processes increases
Solution Approach 1:
The patent changes the parameter of filter strength based on propagation distance, selecting from a set of predefined filter coefficients. This parameter-based approach provides a systematic way to manage compression complexity while achieving improved compression ratios
Solution Approach 2:
The patent segments the filtering process into distinct stages: determining propagation distance, selecting appropriate filter coefficients based on distance ranges, and applying different filter strengths to different regions. This segmentation makes the complex compression process more manageable and implementable
Data Source
AI summary
A method of coding implemented by a decoding device. The method includes determining a prediction direction for a current block, determining a propagation distance along the prediction direction, the propagation distance measured between a pixel to be predicted in the current block and a reference sample adjacent to the current block, selecting one of a plurality of filter coefficients based on the propagation distance, predicting the pixel in the current block using a filter and the one of the plurality of filter coefficients that was selected, and displaying an image including the pixel that was predicted.