US Patent Application 18216260. AFFINE MOTION PREDICTION-BASED IMAGE DECODING METHOD AND APPARATUS USING AFFINE MVP CANDIDATE LIST IN IMAGE CODING SYSTEM simplified abstract
AFFINE MOTION PREDICTION-BASED IMAGE DECODING METHOD AND APPARATUS USING AFFINE MVP CANDIDATE LIST IN IMAGE CODING SYSTEM
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AFFINE MOTION PREDICTION-BASED IMAGE DECODING METHOD AND APPARATUS USING AFFINE MVP CANDIDATE LIST IN IMAGE CODING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18216260 titled 'AFFINE MOTION PREDICTION-BASED IMAGE DECODING METHOD AND APPARATUS USING AFFINE MVP CANDIDATE LIST IN IMAGE CODING SYSTEM
Simplified Explanation
The patent application describes a method for image decoding using a decoding apparatus. Here are the key points:
- Obtaining motion prediction information for a current block from a bitstream.
- Generating a list of affine motion vector predictor (MVP) candidates for the current block.
- Deriving motion vectors for control points (CPs) of the current block based on the affine MVP candidate list.
- Deriving motion vector differences (MVDs) for the CPs of the current block based on the motion prediction information.
- Deriving motion vectors (MVs) for the CPs of the current block based on the derived MVPs and MVDs.
- Deriving prediction samples for the current block based on the derived motion vectors.
Overall, the method improves image decoding by efficiently generating and utilizing motion prediction information to derive accurate prediction samples for the current block.
Original Abstract Submitted
A method by which a decoding apparatus performs image decoding, according to the present document, comprises the steps of: obtaining motion prediction information about a current block from a bitstream; generating an affine MVP candidate list for the current block; deriving CPMVPs for CPs of the current block on the basis of the affine MVP candidate list; deriving CPMVDs for the CPs of the current block on the basis of the motion prediction information; deriving CPMVs for the CPs of the current block on the basis of the CPMVPs and the CPMVDs; and deriving prediction samples for the current block on the basis of the CPMVs.
