Template-Matched Intra Prediction Fusion for Video Coding
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Solution Overview
Problem
Existing video coding technologies lack efficient methods for template matching and fusion techniques, which limit the compression performance and accuracy of intra prediction in video coding.
Innovation Solution
Implementing adaptive fusion techniques in template-based intra mode derivation using most probable modes (TIMD) and intra template matching (Intra TMP), incorporating sub-pel precision and fusion with intra prediction to refine motion vector estimation and improve prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If template matching is applied in video coding, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent divides the template matching process into multiple stages: initial template matching to identify candidate blocks, followed by refinement stages that progressively improve precision. This segmentation allows the system to achieve high prediction accuracy while managing computational complexity by processing only relevant candidate blocks in detail.
Solution Approach 2:
The patent applies partial template matching by performing matching operations on only the most promising candidate blocks rather than all possible blocks. This selective approach maintains prediction accuracy for critical regions while reducing overall computational complexity through targeted processing.
2Productivity
If fusion techniques are applied in template matching, then compression performance is improved, but processing complexity increases
Solution Approach 1:
The patent merges multiple prediction techniques including template matching, intra prediction, and motion compensation into a unified fusion framework. This combination improves compression performance by leveraging the strengths of each method while using adaptive weighting to manage processing complexity through intelligent resource allocation.
Solution Approach 2:
The patent dynamically adjusts fusion parameters such as weighting factors and search ranges based on content characteristics and coding conditions. This adaptive parameter adjustment optimizes compression performance for different video scenarios while controlling processing complexity by avoiding exhaustive searches in all cases.
Data Source
AI summary
Methods and systems are described for intra-prediction using template matching (TM) in video coding. The proposed methods include adaptive fusion when using template-based intra mode derivation using the most probable modes (TIMD), and fusion in intra mode prediction with template matching (Intra TMP).