Video Processing Merge Candidate List Reordering
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Solution Overview
Problem
Current video coding technologies, such as MPEG-2, MPEG-4, ITU-T.263, ITU-T.264/AVC, HEVC, and VVC, face limitations in coding efficiency and performance, particularly in handling complex video block structures and prediction modes.
Innovation Solution
The proposed methods involve determining combined inter and intra prediction modes, constructing and reordering merge candidate lists, and incorporating motion vector differences to enhance video processing, allowing for improved coding performance and efficiency during the conversion between video blocks and bitstreams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding technologies are used, then the coding process is simple, but the coding efficiency and performance are limited
Solution Approach 1:
The patent applies adaptive merge list reordering that dynamically adjusts the order of merge candidates based on prediction accuracy metrics. The system evaluates different merge candidates and reorders them according to their actual performance in predicting motion vectors, allowing the coding process to adapt to different video content characteristics and optimize coding efficiency for each specific case
Solution Approach 2:
The patent performs preliminary actions by pre-establishing multiple merge candidate lists with different ordering strategies before the actual coding process. These pre-prepared lists include various permutations of merge candidates based on different criteria (spatial proximity, temporal proximity, prediction accuracy), allowing the system to select the most appropriate list without performing exhaustive search during coding
2Reliability
If more prediction modes and motion candidates are considered, then coding performance improves, but the complexity of selecting and processing them increases
Solution Approach 1:
The patent segments the merge candidate list into multiple ordered lists, where each list represents a different hypothesis about the optimal ordering of candidates. Instead of treating all candidates uniformly, the system divides them into distinct ordered sequences based on different sorting criteria, making the selection process more manageable and efficient while maintaining high coding performance
Solution Approach 2:
The patent implements feedback mechanisms where the coding system evaluates the performance of different merge candidates and uses this information to adjust the ordering in subsequent iterations. The system learns from previous coding operations and refines the merge candidate ordering based on actual prediction accuracy, creating a self-improving process that maintains high reliability without proportional increases in complexity
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, during a conversion between a target block of a video and a bitstream of the target block, a combined inter and intra prediction (CIIP) mode associated with the target block; constructing a merge candidate list associated with the CIIP mode; performing an adaptive merge list reordering to the merge candidate list associated with the CIIP mode; and performing the conversion based on the reordered merge candidate list.