Conditional CCALF and Chroma ALF Control for VVC Coding Efficiency
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Solution Overview
Problem
Existing video coding standards, such as VVC, face challenges in optimizing the use of advanced filtering processes like CCALF and ALF, leading to inefficiencies in compression and decompression.
Innovation Solution
Disabling the cross component adaptive loop filter (CCALF) and chroma adaptive loop filter (ALF) processes, as well as dependent quantization (DQ) and sign data hiding (SDH), based on specific conditions in the video content, to enhance coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If CCALF and ALF processes are enabled to improve video quality, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent changes the parameter of filter application by introducing conditional logic based on content characteristics. The system dynamically adjusts whether to apply CCALF and ALF filters by evaluating content type, motion levels, and chroma subsampling formats, thereby optimizing video quality while reducing unnecessary computational complexity
2Manufacturing precision
If advanced filtering processes are applied to all content, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
The patent applies local quality by differentiating filter application based on specific content regions and types. Instead of uniformly applying CCALF and ALF to all video content, the system selectively applies filters only to regions or content types that benefit from them, such as static or low-motion content with specific chroma formats, thereby improving coding efficiency while maintaining quality where needed
3Productivity
If filtering processes are disabled to improve productivity, then coding efficiency is improved, but manufacturing precision deteriorates
Solution Approach 1:
The patent implements dynamics by making the filtering process adaptive rather than static. The system dynamically determines whether to apply CCALF and ALF filters based on real-time content analysis, including motion levels, content type classification, and chroma subsampling format detection, thereby optimizing the balance between coding efficiency and video quality for each specific content segment
Data Source
AI summary
The present disclosure provides systems and methods for processing video content. The method can include: receiving a bitstream comprising video content; determining whether a first signal associated with the video content satisfies a given condition; and in response to the determination that the first signal satisfies the given condition, disabling both a cross component adaptive loop filter (CCALF) process and a chroma adaptive loop filter (ALF) process.