Extended-Tap Adaptive Loop Filtering for Video Coding Artifacts
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently managing bandwidth demand and artifact reduction in high-resolution videos, particularly in advanced standards like VVC, due to limitations in in-loop filtering and adaptive loop filtering.
Innovation Solution
The implementation of an adaptive loop filter (ALF) with extended taps, utilizing an intermediate filtering result as input, and performing conversions between visual media data and bitstreams to enhance video coding efficiency and reduce artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional in-loop filtering is used in video coding, then device complexity is reduced, but video coding efficiency and artifact reduction capability deteriorate
Solution Approach 1:
The patent implements dynamic adaptive loop filtering where filter parameters and coefficients are adaptively selected based on local picture characteristics. The filtering process transitions from static to dynamic by using multiple filter sets with different coefficients, allowing the system to adapt to varying content types and artifact patterns in different regions of the video picture.
Solution Approach 2:
The patent divides the video picture into multiple regions or blocks, applying different filter coefficients and parameters to each segment. This segmentation allows targeted artifact reduction in specific areas while maintaining overall video quality, improving coding efficiency without uniformly increasing complexity across the entire picture.
2Manufacturing precision
If advanced adaptive loop filtering with multiple filter sets is implemented, then artifact reduction capability is improved, but processing time and computational load increase
Solution Approach 1:
The patent applies filtering selectively rather than uniformly across all picture regions. By identifying areas with artifacts and applying filter sets only where needed, the system achieves effective artifact reduction while minimizing unnecessary processing time in already clean regions, thus balancing quality improvement with time efficiency.
Solution Approach 2:
The patent performs preliminary analysis of picture characteristics before applying filters. By pre-processing to identify regions requiring filtering and selecting appropriate filter coefficients in advance, the system reduces the computational burden during the actual filtering stage, thereby decreasing overall processing time while maintaining artifact reduction quality.
3Manufacturing precision
If extended tap filtering is applied to high-resolution videos, then video quality is improved, but bandwidth consumption increases
Solution Approach 1:
The patent changes filtering parameters dynamically based on picture content characteristics. By adjusting filter coefficients, tap extensions, and filtering strength according to local variance and artifact types, the system achieves high video quality where needed while reducing filtering intensity in smooth regions, thereby optimizing bandwidth consumption for high-resolution video transmission.
Data Source
AI summary
A mechanism for processing video data is disclosed. The mechanism includes determining to apply an adaptive looper filter (ALF) with an extended tap to a picture in a video. An intermediate filtering result of a second filter is used as input for the extended tap. A conversion is performed between a visual media data and a bitstream based on the ALF.