Video Coding Picture Size Constraints and Merge Node Alignment
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Solution Overview
Problem
Current video coding standards, such as HEVC and VVC, face inefficiencies due to constraints on picture size multiples, which can lead to issues like undefined operations for motion vector predictors and increased implementation costs, particularly when picture dimensions are not multiples of the minimum CU width or height.
Innovation Solution
The proposed solution involves setting the width of a video picture to a first multiple of a positive integer M and the height to a second multiple of a positive integer N, where M and N are predetermined, allowing for flexible picture sizing that aligns with the minimum CU size, thereby avoiding padding and ensuring efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If picture dimensions are constrained to fixed multiples in current video coding standards, then implementation is simplified, but coding efficiency deteriorates and handling of non-standard sizes becomes problematic
Solution Approach 1:
The patent applies dynamics by making the picture size constraints flexible rather than fixed. Instead of enforcing rigid multiple constraints, the system dynamically adapts to different picture dimensions including non-standard sizes, allowing the coding structure to adjust to varying input requirements while maintaining efficiency.
Solution Approach 2:
The patent changes the parameter constraints for picture dimensions. It modifies the fixed multiple constraints to allow variable dimensions that are not strictly multiples of minimum CU width or height, thereby expanding the range of handleable picture sizes without compromising coding performance.
2Adaptability or versatility
If picture dimensions are not multiples of minimum CU width or height, then flexibility in handling different picture sizes is improved, but undefined operations and increased implementation costs occur
Solution Approach 1:
The patent applies preliminary action by pre-defining the behavior and operations for non-standard picture sizes before processing occurs. It establishes clear rules for handling pictures that are not multiples of minimum CU dimensions, ensuring that all operations are well-defined in advance rather than encountering undefined behavior during encoding.
3Loss of information
If advanced coding tools are implemented to improve compression efficiency, then bit-rate saving is enhanced, but device complexity and implementation costs increase
Solution Approach 1:
The patent applies segmentation by dividing the video coding process into manageable segments or blocks that can be independently processed. This modular approach allows advanced coding tools to be implemented in a structured manner, reducing overall implementation complexity while maintaining compression efficiency benefits.
Data Source
AI summary
Provided is a video coding method comprising that the width of a video picture is set to be a first multiple of a first number M, and the first number M is a positive integer. The height of the picture is set to be a second multiple of a second number N, and the second number N is a positive integer. The first number M and the second number N are predetermined. Additionally, it is determined that a merge sharing node is located outside of the picture. The merge sharing node is corresponding to a first region of the picture, a first set of coding units of the picture are within the first region, and the first set of coding units are coded with a merge mode. A constraint process is then applied such that the boundary of the merge sharing node is aligned with the boundary of the picture.