Picture Coding Merge Candidate Derivation for Inter Prediction Efficiency
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Solution Overview
Problem
Existing picture coding methods using inter prediction lack efficiency in coding and decoding processes.
Innovation Solution
A picture coding method that derives multiple merging candidates using different processes to control the total number of candidates, including bi-predictive, spatial, and zero vector candidates, to increase coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single derivation process is used for merging candidates, then the coding process is simple, but the coding efficiency is insufficient
Solution Approach 1:
The merging candidate derivation is divided into multiple independent derivation processes (first derivation process, second derivation process, third derivation process) that can be selectively executed. Each process generates candidates with different characteristics, allowing the system to achieve higher coding efficiency through diversified candidates while maintaining manageable complexity through modular organization of derivation steps.
2Productivity
If multiple merging candidates are derived to increase variety, then the coding efficiency improves, but the processing complexity increases
Solution Approach 1:
The system dynamically selects which derivation processes to execute based on the current coding context and requirements. The number and type of merging candidates are adjusted adaptively rather than being fixed, allowing the system to optimize between coding efficiency and processing complexity by activating only the necessary derivation processes for each coding situation.
Solution Approach 2:
The system changes parameters such as the number of merging candidates, the types of derivation processes applied, and the selection criteria based on coding conditions. By adjusting these parameters dynamically, the system can achieve high coding efficiency when needed while reducing processing complexity when the situation allows, resolving the contradiction between variety and complexity.
Data Source
AI summary
A picture coding method includes: performing a first derivation process for deriving a first merging candidate which includes a candidate set of a prediction direction, a motion vector, and a reference picture index for use in coding of a current block; performing a second derivation process for deriving a second merging candidate; selecting a merging candidate to be used in the coding of the current block from among the first and second merging candidates; and attaching an index for identifying the selected merging candidate to the bitstream; wherein the first derivation process is performed so that a total number of the first merging candidates does not exceed a predetermined number, and the second derivation process is performed when the total number of the first merging candidates is less than a predetermined maximum number of merging candidates.