Video Coding Unit Shape Adaptation for High-Resolution Quality
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Solution Overview
Problem
Existing image encoding and decoding methods using square coding units result in quality deterioration for high-resolution images due to uniform shape limitations.
Innovation Solution
The proposed solution involves an encoding and decoding method that efficiently signals syntax elements for various shapes of coding units, allowing for the splitting of blocks into non-square shapes to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If square coding units are used for high-resolution images, then the encoding process is simple, but the reconstructed image quality deteriorates
Solution Approach 1:
The image is divided into multiple coding units with different shapes (square, rectangular, triangular) rather than using uniform square blocks. This segmentation allows the encoding system to adapt to different image regions and characteristics, improving reconstruction quality while maintaining manageable encoding complexity through systematic shape classification and processing
2Manufacturing precision
If various shapes of coding units are used, then the reconstructed image quality improves, but the number of bits required for encoding increases
Solution Approach 1:
Different coding unit shapes are applied locally to different regions of the image based on their characteristics. The encoder selects appropriate shapes (square, rectangular, triangular) for different blocks, allowing high-quality reconstruction where needed while using simpler shapes elsewhere to minimize bit consumption. This local adaptation optimizes the balance between quality and compression efficiency
Solution Approach 2:
The coding system changes parameters such as block shape, size, and arrangement dynamically based on image content analysis. By varying these parameters adaptively rather than using fixed square blocks, the system achieves better reconstruction quality while the parameter changes are efficiently signaled through optimized syntax elements that reduce the bit overhead for describing the diverse block configurations
Data Source
AI summary
A video decoding method includes obtaining information indicating a first difference between a maximum size of a coding unit having a 1:4 ratio and a size of a largest coding unit, determining the maximum size of the coding unit of having the 1:4 ratio by using the size of the largest coding unit and the first difference, determining a minimum size of the coding unit having the 1:4 ratio based on a minimum size of a coding unit, determining whether a coding having the 1:4 ratio may be generated by splitting a first coding unit based on the maximum size and the minimum size of the coding unit having the 1:4 ratio, and determining a second coding unit including the coding unit having the 1:4 ratio, from the first coding unit, and decoding the second coding unit.