Affine Motion Prediction for High-Definition Video Compression
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Solution Overview
Problem
The increasing demand for high-definition video services has led to a significant increase in data volume, and existing video compression standards like HEVC are showing limitations in efficiency.
Innovation Solution
An inter-prediction method using an affine model is employed in video signal encoding/decoding, which involves generating affine merge candidates, deriving affine seed vectors, and using offset vectors to improve prediction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If HEVC compression standard is used, then compression performance is improved compared to H.264/AVC, but compression performance shows limitations with rapid development of high-definition video services
Solution Approach 1:
The patent applies affine motion models that dynamically adapt to different motion characteristics in video sequences. The model can switch between affine transformation modes (e.g., 4-parameter and 6-parameter models) based on the complexity of motion patterns, allowing the encoder to adapt to various high-definition video scenarios more effectively than fixed translation models.
Solution Approach 2:
The invention introduces additional parameters to the motion model by using affine transformations instead of simple translation. The motion model incorporates parameters for scaling, rotation, and non-uniform scaling, enabling it to handle diverse motion patterns in high-definition videos while maintaining compression efficiency.
2Productivity
If affine model is used for inter-prediction, then inter-prediction efficiency is improved, but device complexity increases
Solution Approach 1:
The patent divides the current block into sub-blocks and applies affine motion models to each sub-block independently. This segmentation allows the complex affine transformation to be manageable through smaller units, reducing the overall computational complexity while maintaining the benefits of affine motion compensation.
Solution Approach 2:
The invention uses merge candidates that provide affine motion information for only certain blocks or regions rather than applying it universally. This selective application reduces the complexity burden on the encoder/decoder while still improving inter-prediction efficiency where needed.
Data Source
AI summary
An image decoding method according to the present invention may comprise the steps of: generating an affine mergence candidate list for a current block; specifying one of multiple affine mergence candidates contained in the affine mergence candidate list; deriving affine seed vectors of the specified mergence candidate; deriving a sub-block motion vector for a sub-block in the current block by using the affine seed vectors, wherein the sub-block is smaller in size than the current block; deriving offset data for the sub-block; and generating a sub-prediction block for the sub-block on the basis of the affine vector and the offset data.