SbTBVP Video Block Prediction for Coding Efficiency
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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, require improvements in coding efficiency for digital video processing.
Innovation Solution
Implementing subblock-based temporal block vector prediction (SbTBVP) to enhance the efficiency of video block vector prediction, thereby improving coding effectiveness and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional video coding technologies (MPEG-2, MPEG-4, H.264, H.265, VVC) are used, then video compression is achieved, but coding efficiency is insufficient
Solution Approach 1:
The current video block is divided into multiple subblocks, and motion vector prediction is performed independently for each subblock. This segmentation allows for more precise local motion compensation while maintaining overall coding efficiency, directly addressing the insufficient coding efficiency of traditional methods.
Solution Approach 2:
The patent changes the prediction unit from block-level to subblock-level, and introduces temporal block vector prediction parameters. By modifying the granularity of prediction units and adding temporal dimension parameters, the coding efficiency is improved without proportionally increasing computational complexity.
2Measurement precision
If block-based motion compensation is used, then video compression is achieved, but prediction accuracy is limited
Solution Approach 1:
By segmenting the video block into subblocks and performing independent motion vector prediction for each subblock, the prediction accuracy is enhanced. Each subblock can have its own motion characteristics, leading to more accurate motion compensation compared to traditional whole-block prediction.
Solution Approach 2:
The patent introduces temporal dimension by using temporal block vectors from reference frames. This adds a time dimension to the prediction process, allowing the system to leverage historical motion information and achieve higher prediction accuracy without significantly increasing spatial processing complexity.
Data Source
AI summary
Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. In the method, for a conversion between a current video block of a video and a bitstream of the video, a subblock-based temporal block vector prediction (SbTBVP) of the current video block is determined. The conversion is performed based on the SbTBVP.


