Video Decoding Parameter Signaling For High-Compression MMVD Modes
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Solution Overview
Problem
In video coding, achieving a high compression rate leads to an increase in flag information for added prediction parameters, resulting in reduced coding efficiency.
Innovation Solution
The video decoding apparatus employs a parameter decoder to decode motion vectors by adding a motion vector difference to a motion vector derived from an index in a merge candidate list, using modes such as Merge with Motion Vector Difference (MMVD) to optimize motion vector derivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high compression rate is achieved, then data transmission efficiency is improved, but flag information overhead increases leading to reduced coding efficiency
Solution Approach 1:
The patent extracts and separates the motion vector difference information from the general prediction parameters, allowing it to be independently coded and decoded. This extraction enables the system to handle motion vector differences more efficiently without increasing overall flag information overhead, thus maintaining coding efficiency while achieving high compression rates.
Solution Approach 2:
The patent introduces a new parameter organization structure where motion vector difference information is separated into distinct components (merge index, motion vector difference length, motion vector difference direction). This parameter transformation allows for more compact coding and reduces the overhead associated with traditional flag-based approaches, resolving the contradiction between compression rate and coding efficiency.
2Measurement precision
If multiple prediction modes are supported, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the prediction process into distinct modes (skip mode, merge mode, MMVD mode) with clear decision boundaries. Each mode has specific flag conditions that determine its applicability, allowing the decoder to efficiently select the appropriate mode without complex analysis. This segmentation maintains high prediction accuracy while managing decoding complexity through structured mode selection.
Solution Approach 2:
The patent implements dynamic mode selection based on decoded flag values, where the prediction mode adapts to the characteristics of each coding unit. The decoder dynamically determines which prediction mode to use by evaluating skip flags, merge flags, and MMVD flags, allowing optimal prediction accuracy for different regions while maintaining manageable complexity through conditional logic.
Data Source
AI summary
An image decoding apparatus is implemented that can suppress a decrease in coding efficiency in a case that a high compression rate is achieved. The image decoding apparatus includes a parameter decoder, and the parameter decoder decodes a skip flag indicating whether a skip mode is applied, and in a case that the skip flag does not indicate the skip mode, decodes a merge flag indicating whether a merge mode is applied, and in a case that the merge flag does not indicate the merge mode, decodes an MMVD flag indicating whether an MMVD mode is applied.