Video Block Prediction Lists With Refined Motion Candidates
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Solution Overview
Problem
Conventional video coding techniques require improvements in coding efficiency and quality, particularly in the handling of motion candidates and prediction lists.
Innovation Solution
Implement methods for determining and inserting target motion candidates into prediction lists based on comparisons and applying template matching for motion refinement, along with concatenating MMVD and template matching to enhance coding efficiency and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding techniques are used, then the coding process is simple, but coding efficiency is insufficient
Solution Approach 1:
The patent applies preliminary action by performing template matching and motion refinement on motion candidates before inserting them into the prediction list. This pre-processing ensures that only high-quality motion candidates are considered, improving coding efficiency while maintaining manageable complexity through structured candidate evaluation
Solution Approach 2:
The patent changes parameters by introducing template matching metrics and motion refinement results as additional criteria for evaluating motion candidates. These parameter changes enable more precise selection of motion candidates, directly improving coding efficiency through better prediction accuracy
2Manufacturing precision
If more motion candidates are added to prediction list, then coding quality improves, but processing complexity increases
Solution Approach 1:
The patent applies local quality by performing template matching and motion refinement selectively on specific motion candidates based on their relevance and potential quality contribution. This localized processing improves coding quality where needed while avoiding unnecessary processing on low-priority candidates, thus controlling overall complexity
Solution Approach 2:
The patent introduces template matching and motion refinement as intermediary processes that evaluate and filter motion candidates before they are added to the prediction list. These intermediaries ensure that only high-quality candidates are inserted, improving coding quality while maintaining manageable list sizes and processing complexity
3Manufacturing precision
If template matching based motion refinement is applied, then coding quality improves, but computational load increases
Solution Approach 1:
The patent applies partial action by performing template matching and motion refinement only on selected motion candidates rather than all candidates. This selective application achieves sufficient motion refinement accuracy for the most promising candidates while significantly reducing the overall computational load compared to processing all candidates equally
Data Source
AI summary
Embodiments of the present disclosure provide a method for video processing. The method comprises: determining, during a conversion between a current video block of a video and a bitstream of the video, whether to insert a target motion candidate for the current video block into a prediction list for the current video block based on a comparison between the target motion candidate and at least one existing motion candidate in the prediction list; and performing the conversion based on the determination. The proposed method can advantageously fill the prediction list more efficiently.