IBC Geometric Partitioning for Efficient Video Coding
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Solution Overview
Problem
Existing video coding technologies, such as MPEG-2, MPEG-4, ITU-T.263, ITU-T.264/MPEG-4 AVC, ITU-T.265 HEVC, and VVC, face challenges in improving coding efficiency for video encoding and decoding.
Innovation Solution
Implementing intra block copy (IBC) with geometric partitioning modes (GPM) to reorder geometry partitioning modes and enhance prediction techniques, including IBC merge mode and IBC advanced motion vector prediction (AMVP), to improve coding performance and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding techniques (MPEG-2, MPEG-4, H.264, H.265, VVC) are used, then video encoding and decoding can be performed, but coding efficiency is insufficient and cannot be further improved
Solution Approach 1:
The video unit is divided into multiple sub-partitions using geometric partitioning modes, where each sub-partition can be independently predicted using IBC techniques. This segmentation allows for more precise local prediction while maintaining overall coding efficiency, resolving the contradiction between improved productivity and maintained reliability.
Solution Approach 2:
The patent reorders the set of geometry partitioning modes to optimize the prediction process. By changing the parameter arrangement and selection order of partitioning modes, the system achieves better coding efficiency without sacrificing prediction accuracy, thus improving productivity while maintaining reliability.
2Reliability
If video unit is divided into multiple sub-partitions using IBC-GPM, then coding performance is improved, but processing complexity increases
Solution Approach 1:
While segmentation into sub-partitions does increase processing steps, each sub-partition uses standardized IBC prediction methods that are computationally efficient. The segmentation approach improves coding performance through better local adaptation while keeping individual processing units simple and manageable.
Solution Approach 2:
The reordering of geometry partitioning modes optimizes the processing sequence to reduce overall complexity. By arranging modes in an optimal order, the system minimizes redundant computations and achieves better performance with manageable processing requirements.
3Productivity
If IBC merge mode and IBC AMVP mode are used for prediction, then coding efficiency is enhanced, but computational requirements increase
Solution Approach 1:
The patent employs IBC merge mode and IBC AMVP mode which use parameter-based prediction to reduce computational requirements. By changing from pixel-based to parameter-based prediction, the system achieves enhanced coding efficiency with reduced computational power consumption, resolving the contradiction between productivity and power usage.
Data Source
AI summary
Embodiments of the disclosure provide a solution for video processing. A method for video processing is proposed. The method includes: dividing, for a conversion between a video unit of a video and a bitstream of the video, the video unit into a plurality of sub-partitions using a predefined approach, wherein the video unit is coded with an intra block copy (IBC)-geometric partition mode (GPM), and wherein a set of geometry partitioning modes used in IBC-GPM is reordered; obtaining a prediction of at least one sub-partition of the video unit using intra block copy; and performing the conversion based on the prediction of the at least one sub-partition of the video unit.