Inter Prediction Fallback Using Regular Merge Mode
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, particularly in virtual reality and augmented reality, necessitates a more efficient image/video compression technique to reduce transmission and storage costs, as existing methods are inadequate for handling the increased data volume.
Innovation Solution
Implementing a default merge mode for inter prediction when the prediction mode is not finally selected, using a regular merge mode for deriving motion information based on a merge candidate list, which includes modes like MMVD, CIIP, and partitioning modes that divide blocks into two partitions, to enhance image coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple advanced merge modes (MMVD, merge subblock, CIIP, partitioning modes) are supported for inter prediction, then prediction accuracy is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent implements dynamic mode selection where the decoder adapts between regular merge mode and advanced merge modes (MMVD, merge subblock, CIIP, partitioning modes) based on availability flags and candidate list configuration. The system dynamically adjusts processing complexity by enabling or disabling specific modes through flags in the bitstream, allowing prediction accuracy to be improved when needed while maintaining lower complexity when advanced modes are not available or beneficial.
Solution Approach 2:
The patent segments the merge mode selection process into distinct hierarchical levels: regular merge mode as the base, followed by optional advanced modes (MMVD, merge subblock, CIIP, partitioning modes) that can be independently enabled. Each mode has its own availability flag and candidate list, allowing the system to selectively apply only the necessary complexity for each block, thus resolving the contradiction between accuracy and processing overhead.
2Productivity
If a default merge mode is applied when no merge mode is finally selected, then decoding efficiency is improved, but flexibility in mode selection is reduced
Solution Approach 1:
The patent establishes regular merge mode as a default preliminary action that is automatically applied when advanced merge modes are not available or not selected. This default mode ensures decoding efficiency by providing a fallback mechanism that requires minimal processing. Meanwhile, the system maintains adaptability by allowing advanced modes to be selectively enabled through availability flags and candidate list configuration, so flexibility is preserved when higher accuracy is needed.
3Measurement precision
If high-resolution, high-quality images/videos (4K, 8K, VR, AR) are transmitted and stored using existing compression techniques, then image quality is maintained, but transmission and storage costs increase significantly
Solution Approach 1:
The patent employs parameter changes in the merge candidate list configuration and mode selection to optimize compression efficiency for high-resolution content. By dynamically adjusting which merge modes are available and how candidates are selected based on block characteristics, the system achieves better prediction accuracy that reduces residual data, thereby lowering transmission and storage requirements while maintaining image quality.
Data Source
AI summary
The present disclosure relates to an image decoding and encoding method which can efficiently perform inter-prediction by applying a regular merge mode to the current block on the basis of the case in which an MMVD mode, a merge sub-block mode, a CIIP mode, and a partitioning mode, in which prediction is performed by dividing the current block into two partitions, are not available for the current block.