Fractional Block Vector Video Coding for Higher Compression 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, and ITU-T.265 HEVC, require further improvements in coding efficiency for video processing.
Innovation Solution
The implementation of fractional block vectors for video processing, including intra block copy and intra template matching prediction, enhances coding efficiency by applying these vectors to video units for prediction or reconstruction, which can be executed by a processor and stored in a non-transitory computer-readable medium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video coding technologies (MPEG-2, MPEG-4, H.264, H.265) are used, then video processing can be performed, but coding efficiency is insufficient
Solution Approach 1:
The patent applies fractional block vectors with sub-pixel precision (1/16 pixel level) to motion compensation, transforming the parameter precision from integer pixels to fractional pixels. This parameter change enables more accurate motion representation, improving coding efficiency while maintaining video quality by reducing information loss during compression
2Quantity of substance
If video compression is applied, then data requirements are reduced, but coding efficiency needs improvement
Solution Approach 1:
The patent replaces traditional integer-based motion compensation mechanisms with fractional block vector mechanisms. By substituting the mechanical integer pixel grid system with a fractional coordinate system (supporting 1/16 pixel precision), the system achieves better compression ratios for the same data volume, improving coding efficiency without increasing data requirements
3Productivity
If fractional block vectors are applied, then coding efficiency improves, but computational complexity increases
Solution Approach 1:
The patent segments the video processing into distinct stages: integer pixel motion estimation, fractional offset calculation, and weighted prediction combination. By dividing the complex fractional block vector process into manageable segments, the computational complexity is reduced while maintaining coding efficiency improvements
4Manufacturing precision
If advanced prediction techniques are used, then video quality is enhanced, but device complexity increases
Solution Approach 1:
The patent implements partial fractional precision by using 1/16 pixel level fractional offsets only when beneficial, rather than applying full fractional precision universally. This partial action approach enhances video quality through selective application of advanced prediction techniques while controlling processor requirements and device complexity
Data Source
AI summary
Embodiments of the disclosure provide a solution for video processing. A method for video processing is proposed. The method includes: generating, for a conversion between a video unit of a video and a bitstream of the video, a prediction or reconstruction of the video unit by applying a fractional block vector to the video unit; and performing the conversion based on the prediction or reconstruction of the video unit.