Affine TMVP Image Coding for Precise Motion Compensation
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the increased amount of information, necessitating high-efficient image compression technology.
Innovation Solution
An image encoding/decoding method utilizing an affine temporal motion vector predictor (TMVP) is employed, merging conventional affine mode and subblock-based merge mode to simplify the encoding/decoding process and enhance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality images are transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The current block is divided into multiple subblocks, and motion information is derived separately for each subblock using affine TMVP. This segmentation allows for more precise motion compensation at the subblock level, improving image quality while efficiently managing the amount of data to be transmitted by processing smaller units independently.
Solution Approach 2:
The patent changes the parameter of motion information derivation from block-level to pixel or subblock-level using affine transformation. By deriving motion information for each pixel or subblock based on control point motion vectors, the system achieves higher precision in motion compensation, thereby improving image quality without proportionally increasing transmission data.
2Productivity
If conventional affine mode and subblock-based merge mode are merged, then encoding/decoding efficiency is improved, but process complexity increases
Solution Approach 1:
The patent merges the conventional affine mode and subblock-based merge mode into a unified affine TMVP framework. By combining these two modes, the system leverages the strengths of both approaches to improve encoding efficiency. The merged mode allows the decoder to derive motion information for each subblock using affine transformation based on temporal motion vector predictors, reducing the need for separate processing pathways while maintaining high compression efficiency.
Data Source
AI summary
An image encoding/decoding apparatus and method are provided. An image decoding method performed by an image decoding apparatus according to the present disclosure may comprise deriving a motion shift of a current block using motion information of a neighboring block of the current block, determining a collocated block of the current block using the motion shift, deriving a motion vector for at least one control point (CP) of the determined collocated block, and deriving at least one control point motion vector (CPMV) of the current block using the motion vector for the at least one CP.