Video Block Prediction Blending for High-Definition Compression
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Solution Overview
Problem
Existing video compression technologies, such as HEVC, are facing limitations in efficiently handling high-definition video services due to increased data amounts, necessitating improved methods for video signal encoding and decoding.
Innovation Solution
A combined prediction method that partitions coding blocks into multiple prediction units, derives merge candidates, and applies weighted sums of prediction samples to enhance inter-prediction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If HEVC video compression standard is used, then compression performance is improved (about twice of H.264/AVC), but data amount for high-definition video services is still greatly increased
Solution Approach 1:
The coding block is partitioned into multiple prediction units (first partition and second partition), allowing independent prediction processing for each partition. This segmentation enables more precise local prediction, improving compression efficiency while managing data amounts for high-definition video services.
Solution Approach 2:
The patent combines multiple prediction methods by deriving both first and second prediction samples from different merge candidates and then obtaining a combined prediction sample through weighted sum operation. This merging of prediction approaches improves compression performance beyond what single prediction methods achieve.
2Productivity
If combined prediction method with multiple prediction units is used, then inter-prediction efficiency is improved, but device complexity increases
Solution Approach 1:
The coding block is divided into multiple prediction units, enabling parallel processing of predictions for different partitions. This segmentation improves inter-prediction efficiency by allowing independent optimization of each partition while managing processing complexity through structured division.
Solution Approach 2:
The patent applies different weight parameters to prediction samples based on partition location (first partition vs. second partition). By changing weight parameters adaptively for different regions, the method improves prediction accuracy without requiring completely different processing architectures, thus managing device complexity.
Data Source
AI summary
A video decoding method according to the present invention may comprise: a step for dividing a coding block into a first partition and a second partition; a step for deriving a merge candidate list for the coding block; a step for determining a first merge candidate and a second merge candidate by using the merge candidate list; a step for deriving a first prediction sample and a second prediction sample on the basis of first motion information on the first merge candidate and second motion information on the second merge candidate; and a step for obtaining a third prediction sample for the coding block on the basis of the first prediction sample and the second prediction sample.


