Block Vector Validation for More Efficient Video Coding
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Solution Overview
Problem
Existing video coding technologies, such as MPEG-2, MPEG-4, AVC, HEVC, and VVC, require further improvements in coding efficiency.
Innovation Solution
Implementing methods for video processing that include determining block vector candidates based on reconstructed and unreconstructed samples, using combined intra block copy and intra prediction modes, and applying template matching processes to improve coding effectiveness and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video coding technologies (MPEG-2, MPEG-4, AVC, HEVC, VVC) are used, then video compression is achieved, but coding efficiency is insufficient
Solution Approach 1:
The patent segments the reference block into reconstructed and unreconstructed samples, allowing selective use of available reference information. This segmentation enables the system to utilize only the portions of reference blocks that are actually available, improving coding efficiency while maintaining reliability by avoiding invalid references.
Solution Approach 2:
The patent introduces dynamic validation of block vector candidates based on the availability of reconstructed and unreconstructed samples. The validation process adapts to different coding scenarios, determining whether a BV candidate is valid based on the specific reference block characteristics, thereby optimizing coding efficiency across varying conditions.
2Reliability
If block vector candidates are validated based on reconstructed and unreconstructed samples, then coding effectiveness is improved, but processing complexity increases
Solution Approach 1:
The validation process leverages the existing reference block structure and sample availability to automatically determine BV candidate validity. The system uses the reconstructed and unreconstructed sample information that is already present in the coding process, eliminating the need for additional complex validation mechanisms.
Solution Approach 2:
The patent changes the validation parameter from a fixed approach to a dynamic one that depends on the availability of reconstructed and unreconstructed samples. This parameter change allows the system to adapt the validation criteria based on the actual coding state, improving effectiveness without proportionally increasing complexity.
3Productivity
If template matching processes are applied to refine block vector candidates, then coding efficiency is improved, but computational time increases
Solution Approach 1:
The patent applies template matching selectively rather than exhaustively. The system performs template matching only when necessary, based on the validation results and reference block characteristics. This partial application of the template matching process maintains coding efficiency improvements while reducing unnecessary computational time.
Solution Approach 2:
The validation of block vector candidates is performed as a preliminary step before applying template matching. This preliminary action filters out invalid BV candidates early in the process, reducing the amount of template matching computation required and thereby decreasing overall computational time while maintaining coding efficiency.
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. In a method for video processing, for a conversion between a current video block of a video and a bitstream of the video, a block vector (BV) candidate of the current video block associated with a reference block of the current video block is determined. A validation of the BV candidate is determined based on at least one reconstructed sample and at least one unreconstructed sample of the reference block. The conversion is performed based on the validation. The BV candidate is in at least one of the following coding modes or processes: a combined intra block copy and intra prediction (IBC-CIIP) mode, an IBC with geometry partitioning mode (IBC-GPM) mode, an IBC with local illumination compensation (IBC-LIC) mode, a direct block vector (DBV) mode, or a BV difference (BVD) or BVD sign prediction process.