L-Shaped Block Splitting for Video Prediction and Transform Efficiency
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Solution Overview
Problem
Existing video compression techniques struggle with increasing data volumes due to rising image sizes, resolutions, and frame rates, necessitating improved encoding efficiency and image enhancement.
Innovation Solution
The method involves splitting a coding block into an L-shaped block and a rectangular block, applying specific prediction techniques to each, and determining splitting types based on their relative positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video data is compressed using existing techniques, then data transmission and storage are enabled, but encoding efficiency is insufficient and image quality deteriorates with increasing data volumes
Solution Approach 1:
The coding block is divided into two distinct regions: an L-shaped block and a rectangular block. This segmentation allows different prediction techniques to be applied to each region, improving overall encoding efficiency by treating different areas of the block according to their specific characteristics rather than using a uniform approach across the entire block.
2Manufacturing precision
If image size, resolution, and frame rate are increased, then video quality is improved, but the amount of data to be encoded increases significantly
Solution Approach 1:
Different prediction techniques are applied to different regions within the coding block based on their local characteristics. The L-shaped block and rectangular block receive tailored prediction approaches, allowing the encoding process to adapt to local variations in image content, thereby maintaining high image quality while reducing the overall data volume requiring encoding.
3Measurement precision
If a coding block is split into L-shaped and rectangular blocks, then prediction accuracy is enhanced, but processing complexity increases
Solution Approach 1:
The coding block is divided into asymmetric regions with distinct shapes (L-shaped and rectangular), allowing prediction techniques to be optimized for each specific geometry. This asymmetric division enables more accurate prediction by matching the prediction approach to the actual shape characteristics of each region, improving prediction accuracy while managing processing complexity through structured differentiation.
Data Source
AI summary
A block splitting structure is disclosed for efficient prediction and transform, and a method and an apparatus are disclosed for video encoding and decoding using the block splitting structure. In particular, the method and apparatus are capable of splitting a video data block into two regions or blocks including an L-shaped block and a rectangular block and thus efficiently perform prediction on each block.