Video Signal Decoding Using Parent Node Spatial Merge Candidates
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Solution Overview
Problem
Existing video signal processing technologies face challenges in efficiently performing inter-prediction and deriving merge candidates for encoding/decoding high-resolution and ultra-high definition video signals.
Innovation Solution
A method and apparatus for decoding and encoding video signals that involves deriving spatial merge candidates from neighboring blocks, generating a merge candidate list, obtaining motion information, and performing motion compensation to effectively perform inter-prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image compression technology is used for high-resolution and ultra-high definition video signals, then data transmission and storage costs increase, but image quality and resolution requirements cannot be met
Solution Approach 1:
The patent changes the parameter of motion candidate derivation by using parent node block neighboring blocks instead of current block neighboring blocks. This parameter change enables more effective motion compensation for high-resolution video signals, improving compression efficiency without sacrificing image quality, thereby reducing transmission and storage costs.
2Reliability
If spatial merge candidates are derived from current block neighboring blocks, then inter-prediction can be performed, but processing efficiency decreases for high-resolution video
Solution Approach 1:
The patent segments the video processing into hierarchical levels by deriving motion candidates from parent node blocks rather than processing each current block independently. This segmentation approach reduces redundant processing operations and improves overall processing efficiency while maintaining inter-prediction effectiveness through the use of spatial neighboring blocks at the parent node level.
3Adaptability or versatility
If merge candidates are derived without considering block shape and size constraints, then more candidates are available, but processing complexity increases
Solution Approach 1:
The patent applies local quality by considering the specific shape and size characteristics of parent node blocks when deriving spatial merge candidates. By tailoring the candidate derivation process to the local properties of each block (predetermined shapes or sizes), the patent maintains adaptability for different block types while reducing processing complexity through targeted rather than exhaustive candidate generation.
Data Source
AI summary
An image decoding method, according to the present invention, can comprise the steps of: deriving a spatial merge candidate of a current block; generating a merge candidate list for the current block on the basis of the spatial merge candidate; acquiring motion information on the current block on the basis of the merge candidate list; and performing motion compensation for the current block by using the motion information.