Video Merge Candidate Derivation Using Inter-Region Motion Data
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Solution Overview
Problem
Existing video compression technologies face limitations in improving inter prediction efficiency, particularly in deriving merge candidates for video encoding and decoding processes.
Innovation Solution
A method is provided to derive merge candidates using an inter-region motion information list, where the inclusion of inter-region merge candidates in the merge candidate list is determined based on a threshold value comparison with existing candidates, enhancing inter prediction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If merge candidates are derived only from adjacent blocks, then the processing complexity is low, but the inter prediction efficiency is insufficient
Solution Approach 1:
The patent segments the merge candidate derivation process into multiple sources: traditional adjacent block candidates and new inter-region motion information list candidates. This segmentation allows the system to maintain simple adjacent block processing while adding complex inter-region candidates only when beneficial, thus improving prediction efficiency without uniformly increasing complexity throughout the entire encoding process
Solution Approach 2:
The patent introduces a new dimension to merge candidate derivation by utilizing motion information from inter-region (different picture or frame) rather than only intra-region adjacent blocks. This dimensional expansion from spatial adjacency to temporal/spatial motion relationships provides additional prediction candidates that improve inter prediction efficiency without requiring complete redesign of the existing derivation mechanism
2Measurement precision
If more merge candidates are added to the merge candidate list, then the prediction accuracy improves, but the number of candidates to process increases
Solution Approach 1:
The patent applies partial action by selectively adding inter-region motion information list candidates only when necessary (e.g., when the list is not empty and contains useful motion information), rather than unconditionally processing all possible candidates. This selective approach improves prediction accuracy when beneficial while avoiding unnecessary processing time expenditure when additional candidates would not improve the result
Solution Approach 2:
The patent performs preliminary organization of motion information into an inter-region motion information list before the actual merge candidate derivation. This preliminary action groups and pre-processes motion information from multiple sources, making the subsequent candidate selection more efficient and reducing the processing time required to evaluate and select the best prediction candidates
Data Source
AI summary
A video decoding method includes the steps of: generating a merge candidate list for a first block; selecting one among merge candidates included in the merge candidate list; and performing motion compensation for the first block based on motion information of the selected merge candidate. At this point, an inter-region merge candidate included in an inter-region motion information list may be added to the merge candidate list based on the number of spatial merge candidates and temporal merge candidates included in the merge candidate list.