Affine Motion Prediction for Efficient Image Signal Decoding
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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 performance.
Innovation Solution
An inter prediction method using an affine model is employed, where affine seed vectors are derived using translational motion vectors of subblocks and transformed into a power series of 2, enhancing encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If HEVC video compression standard is used, then compression performance is improved (about twice as high as H.264/AVC), but performance limitations are revealed as high-definition video services advance rapidly
Solution Approach 1:
The patent applies parameter changes by transforming the affine seed vector derivation process. Specifically, it changes the method of calculating motion vectors by using a power series of 2 transformation on the distance between neighboring block and current block, thereby improving compression performance while adapting to high-definition video requirements that exceed HEVC capabilities
Solution Approach 2:
The patent segments the video processing into subblocks and applies affine prediction models to each subblock independently. By dividing the current block into multiple subblocks and deriving separate affine seed vectors for each, the method achieves better compression performance and overcomes HEVC limitations in handling high-definition video content
2Productivity
If affine seed vectors are derived using translational motion vectors of subblocks, then encoding efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining the affine seed vector derivation process using translational motion vectors of subblocks. The method预先 establishes the power series of 2 transformation rule for distance calculation, which streamlines the encoding process and improves encoding efficiency while maintaining manageable computational complexity through standardized procedures
Solution Approach 2:
The patent substitutes traditional mechanical motion vector calculation with an affine prediction model based on power series transformation. This replacement of conventional motion compensation mechanics with mathematical transformation improves encoding efficiency while the standardized mathematical operations keep computational complexity controlled
3Ease of manufacture
If distance between neighboring block and current block is transformed to power series of 2, then affine seed vector derivation is simplified, but precision may be reduced
Solution Approach 1:
The patent applies parameter changes by transforming the distance parameter to a power series of 2. This transformation simplifies the affine seed vector derivation process by enabling easier calculation and standardization, while the power series transformation itself preserves sufficient precision for video compression applications through its mathematical properties
Data Source
AI summary
An image decoding method according to the present application includes the steps of: generating a merge candidate list in a current block; specifying one of a plurality of merge candidates included in the merge candidate list; deriving a first affine seed vector and a second affine seed vector of the current block on the basis of a first affine seed vector and a second affine seed vector of the specified merge candidate; deriving an affine vector for a subblock in the current block, using the first affine seed vector and the second affine seed vector of the current block; and performing motion compensation prediction for the subblock on the basis of the affine vector.