Merge Mode Signaling for Efficient Motion Prediction in Video Coding
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently encoding and decoding high-definition and ultra-high-definition video data while maintaining image quality, particularly in the context of evolving video services that require improved coding efficiency.
Innovation Solution
The implementation of enhanced merge modes, including regular merge modes, extended merge modes, and signaling orders for deriving motion information, along with features like MMVD, affine motion compensation, subblock-based temporal motion vector prediction, and combined inter-intra prediction, to optimize video coding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional video coding techniques are used, then implementation is simpler, but coding efficiency deteriorates for high-definition and ultra-high-definition video data
Solution Approach 1:
The patent segments the motion prediction process by introducing multiple types of merge modes (regular merge mode, extended merge mode, affine merge mode, subblock merge mode) that can be selectively applied to different video blocks. This segmentation allows the system to handle complex high-definition video data with specialized modes while keeping simple blocks processed with basic modes, thereby improving overall coding efficiency without requiring all complex modes to be applied universally.
Solution Approach 2:
The patent implements dynamic selection of merge modes through signaling mechanisms where the encoder can choose and signal the appropriate merge mode type for each block based on content characteristics. The decoder dynamically adapts by interpreting these signals and applying the corresponding mode. This dynamic approach allows the system to optimize coding efficiency for each block individually while maintaining manageable complexity through conditional logic rather than universal complexity.
2Productivity
If multiple enhanced merge modes are implemented, then coding efficiency improves, but device complexity increases
Solution Approach 1:
The patent applies partial action by implementing enhanced merge modes selectively rather than universally. The system uses regular merge mode for blocks where it suffices, and only activates extended, affine, or subblock merge modes when their specific capabilities are needed for particular block characteristics. This partial application of complex modes improves coding efficiency where needed while avoiding the complexity overhead in blocks where simpler modes are adequate.
Solution Approach 2:
The patent changes parameters by introducing multiple merge mode types with different characteristics (regular, extended, affine, subblock) that can be selected based on block-specific parameters such as size, motion characteristics, and content type. Each mode type has different computational requirements and prediction capabilities. By changing the merge mode parameter dynamically based on block characteristics, the system achieves improved coding efficiency while managing device complexity through parameter-based selection rather than fixed complex implementation.
Data Source
AI summary
A method for video coding is provided. The method includes: determining a signaling of merge modes for deriving motion information of a current block, where the merge modes include: regular merge mode and extended merge modes; and deriving motion information of the current block using the regular merge mode, upon determining that the signaling of merge modes includes a positive signal of regular merge mode.