Component-Dependent Sub-Block Dividing for Adaptive Video Motion Prediction
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Solution Overview
Problem
Existing video coding standards face challenges in efficiently encoding and decoding high-resolution videos due to limitations in motion compensation techniques, particularly in handling complex motions and varying sub-block sizes.
Innovation Solution
The proposed solution involves a method for video encoding and decoding that partitions luma and chroma components of video data into sub-blocks with different numbers, allowing for adaptive motion prediction based on these sub-blocks. This approach improves coding efficiency by optimizing sub-block sizes for different components and formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If motion compensation is used to predict video frames, then video compression efficiency is improved, but handling complex motions and varying sub-block sizes becomes difficult
Solution Approach 1:
The patent divides a video block into multiple sub-blocks and applies different motion prediction modes to different sub-blocks. This segmentation allows the system to handle complex motions more effectively by treating different regions with appropriate prediction strategies, resolving the contradiction between compression efficiency and adaptability to complex motions.
Solution Approach 2:
The patent introduces dynamic sub-block partitioning where the number and size of sub-blocks can vary based on motion characteristics. This dynamic adaptation enables the system to adjust to varying motion complexities within different regions of a video block, improving both compression efficiency and handling of complex motions.
2Ease of manufacture
If luma and chroma components are partitioned into the same number of sub-blocks, then processing is simplified, but coding efficiency is reduced
Solution Approach 1:
The patent applies different partitioning rules to luma and chroma components based on their different characteristics. The luma component may be divided into more sub-blocks to capture fine motion details, while the chroma component uses fewer sub-blocks since it requires less precision. This local quality differentiation improves coding efficiency without significantly complicating processing.
Solution Approach 2:
The patent changes the partitioning parameters (number of sub-blocks) differently for luma and chroma components. By adjusting these parameters according to component-specific requirements, the system achieves better coding efficiency while maintaining manageable processing complexity through systematic parameter management.
Data Source
AI summary
Devices, systems and methods for sub-block based prediction are described. In a representative aspect, a method for video encoding includes partitioning, based on a first rule, a luma component of a block of video data into a first set of sub-blocks. The method also includes partitioning, based on a second rule, a first chroma component of the block of video data into a second set of sub-blocks. The first and the second set of sub-blocks include different numbers of sub-blocks. The method also includes performing a subsequent motion prediction based on the first and the second set of sub-blocks.