Adaptive Loop Filter Position-Dependent Shift Video Coding
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Solution Overview
Problem
Current video coding standards, such as ITU-T H.264 and H.265, face challenges in efficiently modifying reconstructed sample values to minimize artifacts and improve video quality, particularly in adaptive filtering processes.
Innovation Solution
The method involves determining a current reconstructed sample value, calculating a shift variable based on the vertical position, and using this shift to modify the sample value through a specific equation to produce a modified reconstructed sample value, which can be applied in devices with processors configured for video encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional video coding standards (ITU-T H.264/H.265) are used for modifying reconstructed sample values, then basic video compression is achieved, but video quality and artifact reduction are insufficient
Solution Approach 1:
The patent applies parameter changes by modifying the reconstructed sample values using adaptive filtering with position-dependent shift variables. The filtering process changes parameters such as the shift amount (alfShiftY) based on vertical position, and applies different filtering strengths to different regions, thereby improving video quality and reducing artifacts while maintaining compression efficiency
Solution Approach 2:
The patent implements local quality by applying adaptive loop filtering with position-dependent parameters. Different regions of the video data receive different filtering treatments based on their vertical position, allowing the system to optimize video quality locally rather than applying uniform filtering across the entire frame, thus reducing artifacts more effectively in critical regions
2Manufacturing precision
If adaptive filtering is applied to modify reconstructed sample values, then video quality improves, but computational complexity increases
Solution Approach 1:
The patent segments the filtering process by dividing the video data into regions based on vertical position and applying different filtering parameters to each segment. This segmentation allows the complex adaptive filtering to be broken down into manageable, position-specific operations, improving filtering precision while making the computational complexity more tractable through structured division of the processing task
Solution Approach 2:
The patent employs dynamics by using position-dependent shift variables (alfShiftY) that change based on vertical position. This dynamic approach allows the filtering parameters to adapt automatically to different regions of the video data, achieving high filtering precision without requiring manual configuration of complex filter parameters for each region, thus balancing precision and processing complexity
Data Source
AI summary
A device may be configured to apply adaptive loop filters according to one or more of the techniques described herein.