Same-Domain Luma Mapping for Video Block Matching
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Solution Overview
Problem
Existing video encoding and decoding methods face inefficiencies in predicting current blocks due to inaccurate template matching costs, leading to suboptimal data compression and decompression processes.
Innovation Solution
Transforming samples from templates of the current and candidate reference blocks into the same domain for more accurate template matching cost determination, thereby enhancing the efficiency of encoding and decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If template matching is performed using samples from different domains (luma domains), then the encoding and decoding process is simpler, but the template matching cost accuracy deteriorates
Solution Approach 1:
The patent applies preliminary action by transforming samples from templates of the current block and candidate reference blocks into the same luma domain before performing template matching. This preprocessing step ensures that both sets of samples are in compatible domains, allowing for accurate cost calculation while maintaining process efficiency.
Solution Approach 2:
The patent introduces an intermediary transformation process that converts samples between different luma domains. This intermediary step acts as a mediator, enabling accurate comparison between template samples by first transforming them into a common domain, thus resolving the domain mismatch issue while preserving matching accuracy.
2Productivity
If template matching cost accuracy is improved by transforming samples into the same domain, then encoding and decoding efficiency increases, but computational complexity increases
Solution Approach 1:
The patent applies parameter changes by transforming the domain parameter of the samples. By changing the luma domain parameter of the template samples to match the reference block samples, the patent achieves accurate template matching cost calculation. This parameter transformation enables more precise block matching, leading to improved encoding efficiency and better compression performance.
Data Source
AI summary
The current block may be predicted using a reference block and a difference between templates of the current bock and the reference block. The reference block may be selected from a plurality of candidate reference blocks. The selection may be based on a template matching cost that indicates the differences between the templates of the current block and the templates of a respective candidate reference block. An encoder or a decoder may transform samples from templates of the current block and of the candidate reference block into the same domain, for example, if the samples are in different domains before determining the template matching cost.