Motion Prediction Candidate Grouping for Inter Image Encoding
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Solution Overview
Problem
Existing image encoding and decoding technologies face challenges in improving performance and efficiency, particularly in inter prediction methods, which require enhancements for effective motion information prediction.
Innovation Solution
An image encoding/decoding method and device that determines a motion information encoding mode, configures a motion information prediction candidate group, and performs inter prediction based on selected motion information to enhance encoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional inter prediction methods are used, then the encoding process is simple, but encoding performance is insufficient
Solution Approach 1:
The motion information prediction candidate group is segmented into multiple types (spatial candidates, temporal candidates, combined candidates) with different derivation methods. This segmentation allows the system to select appropriate candidate types based on encoding mode, improving prediction accuracy while managing complexity through structured organization of prediction candidates.
Solution Approach 2:
The motion information prediction system dynamically adapts to different encoding modes (AMVR, HMVP, skip mode) by configuring different candidate groups and derivation methods. This dynamic configuration allows the system to optimize prediction performance for each specific mode while maintaining flexibility in handling various coding scenarios.
2Reliability
If motion information prediction candidate group is configured, then encoding performance improves, but bit representation of motion information increases
Solution Approach 1:
The system derives only the necessary motion information candidates required for prediction, rather than encoding all possible motion parameters. By selectively deriving spatial, temporal, and combined candidates based on the encoding mode, the system achieves sufficient prediction accuracy while minimizing the bit representation overhead for motion information.
Solution Approach 2:
The system changes the parameter representation of motion information by deriving candidates through different methods (spatial prediction, temporal prediction, combined prediction) rather than directly encoding raw motion vectors. This parameter transformation enables more efficient bit representation while maintaining prediction accuracy.
Data Source
AI summary
An image encoding/decoding method and apparatus according to the present invention may determine a motion information encoding mode of a target block, configure a motion information prediction candidate group according to the motion information encoding mode, select one candidate from the motion information prediction candidate group so as to induce the selected candidate as motion information of the target block, and perform inter-prediction on the target block on the basis of the motion information of the target block.