Transform Domain Prediction Filter for Video Coding Efficiency
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Solution Overview
Problem
Current video compression technologies face challenges in efficiently processing next-generation video content with high spatial resolution, high frame rate, and high dimensionality, requiring improved coding tools and prediction methods to enhance coding efficiency and frame quality.
Innovation Solution
A method for designing a prediction filter that considers directional correlation to calculate an optimum spatial correlation coefficient for transform domain prediction, improving intra-prediction and coding efficiency by using this coefficient for filtering in video encoding and decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional prediction methods are used, then the processing is simple, but the coding efficiency and prediction performance are insufficient for next-generation video content
Solution Approach 1:
The patent applies parameter changes by calculating an optimum spatial correlation coefficient based on directional correlation characteristics. Instead of using a fixed prediction filter, the system dynamically adjusts the spatial correlation coefficient as a parameter to match the directional properties of the video content, thereby improving coding efficiency without excessive complexity
Solution Approach 2:
The prediction filter is designed to be dynamic rather than static. The spatial correlation coefficient is calculated based on the directional correlation of the current block, allowing the filter to adapt to different directional characteristics in the video signal. This dynamic adjustment enables the system to maintain high coding efficiency across various content types
2Measurement precision
If prediction filter design is improved, then prediction performance and reconstructed frame quality increase, but processing complexity increases
Solution Approach 1:
The patent improves prediction performance by changing the parameter of spatial correlation coefficient to an optimum value derived from directional correlation. This parameter optimization enables better prediction without requiring complex multi-stage filtering processes, thus improving measurement precision while keeping the filtering process manageable
Solution Approach 2:
The directional correlation is calculated and used to determine the optimum spatial correlation coefficient before the actual prediction filtering is performed. This preliminary calculation of directional correlation characteristics allows the prediction filter to be pre-configured with appropriate parameters, improving prediction performance without adding complexity during the main filtering operation
3Productivity
If transform domain prediction is performed with directional correlation consideration, then coding efficiency improves, but computational requirements increase
Solution Approach 1:
The patent addresses the computational requirement by optimizing the spatial correlation coefficient parameter based on directional correlation. This parameter optimization allows the system to achieve improved coding efficiency through transform domain prediction while using a computationally efficient approach that does not require excessive processing power for complex calculations
Data Source
AI summary
Disclosed is a method of decoding a video signal. The method includes extracting an intra-prediction mode of a current block from a video signal, generating a prediction block according to the intra-prediction mode, performing a transform on the prediction block, performing a filtering on the transformed prediction block using a spatial correlation coefficient, and generating a reconstruction block based on the filtered prediction block and a residual block, wherein the spatial correlation coefficient is a value determined based on a direction of the intra-prediction mode.