Image Encoding With Refined Motion Vectors for Lower Data Volume
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Solution Overview
Problem
The increasing resolution and quality of image data lead to higher data volumes, increasing costs for transmission and storage, necessitating improved compression efficiency and reduced computational complexity in image encoding/decoding processes.
Innovation Solution
An image encoding/decoding method that includes deriving an initial motion vector and refining it using merge mode-based or prediction block-based methods, with entropy decoding of motion vector information to generate a prediction block.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If higher resolution and quality image data are used, then image quality is improved, but data volume increases leading to higher transmission and storage costs
Solution Approach 1:
The patent applies parameter changes by refining motion vectors through a multi-stage process that adjusts vector components based on predicted motion models and residual analysis. This refinement optimizes the compression parameters to achieve higher image quality at reduced data volumes through improved inter-picture prediction accuracy
Solution Approach 2:
The patent replaces traditional mechanical motion estimation with an enhanced algorithm that uses prediction block-based motion vector refinement. This substitution uses computational prediction models instead of direct mechanical measurement, achieving more efficient compression with lower data requirements
2Productivity
If conventional image compression techniques are used, then transmission and storage costs are reduced, but compression efficiency is insufficient for high-resolution images
Solution Approach 1:
The patent implements feedback mechanisms in the motion vector refinement process by continuously analyzing prediction residuals and adjusting motion vectors accordingly. This feedback loop enables the system to adaptively optimize compression efficiency based on actual prediction errors, achieving better compression performance
Solution Approach 2:
The patent applies preliminary action through advanced motion vector prediction that performs refinement calculations before final encoding. By preparing refined motion vectors in advance using prediction blocks and residual analysis, the system achieves more efficient compression without increasing real-time processing burden
3Productivity
If motion vector refinement is performed, then compression efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the motion vector refinement process into distinct stages: initial motion vector derivation, prediction block generation, residual analysis, and final refinement. This segmentation allows computational complexity to be managed through structured processing steps rather than monolithic calculation
Solution Approach 2:
The patent applies partial action by performing motion vector refinement selectively based on prediction accuracy requirements. The system applies refinement only where needed based on residual analysis, avoiding unnecessary computational complexity in regions where simple prediction suffices
Data Source
AI summary
The present invention is about an image encoding/decoding method and apparatus. According to present invention, a method of decoding an image, the method comprising, deriving an initial motion vector of a current block; deriving a refined motion vector by using the initial motion vector; and generating a prediction block of the current block by using the refined motion vector.