Dynamic PSAO Parameter Adaptation for Video Filtering
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Solution Overview
Problem
Current video compression systems, such as HEVC and VVC, lack an efficient method to determine Pre-Sample Adaptive Offset (PSAO) parameter values for filtering, which affects the adaptation and efficiency of PSAO filtering during encoding and decoding.
Innovation Solution
Dynamically determining PSAO parameter values using encoding/decoding parameters like quantization and deblocking parameters, through scaling or shifting initial values based on these parameters, to adapt PSAO filtering to the video picture data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PSAO parameter values are determined dynamically during encoding/decoding, then filtering performance is improved, but computational complexity increases
Solution Approach 1:
The patent dynamically adjusts PSAO parameter values (offset coefficients d1 and d2, and threshold T) based on encoding/decoding parameters such as quantization parameter QP and deblocking parameter beta. This allows the filtering performance to adapt to different video content and compression settings, resolving the contradiction by making parameters variable rather than fixed, thereby improving reliability without requiring complete redesign of the system complexity.
Solution Approach 2:
The patent introduces dynamic determination of PSAO parameters during the encoding and decoding process, where parameter values are selected or computed based on current video data characteristics and encoding conditions. This dynamic approach enables the system to optimize filtering performance for each specific case while managing computational complexity through efficient parameter selection mechanisms.
2Adaptability or versatility
If PSAO parameter ranges are expanded, then filtering adaptability is improved, but bandwidth consumption increases
Solution Approach 1:
The patent expands the range of PSAO parameter values that can be used for filtering (e.g., offset coefficients and threshold values) to improve adaptability to different video content characteristics. However, it manages bandwidth consumption by efficiently encoding these parameters, using techniques such as differential coding or selective signaling based on actual parameter changes, thus resolving the contradiction between expanded parameter ranges and bandwidth usage.
3Productivity
If PSAO parameters are determined from encoding/decoding parameters, then filtering efficiency is improved, but parameter interdependence complexity increases
Solution Approach 1:
The patent establishes relationships between PSAO parameters and existing encoding/decoding parameters (QP, beta, etc.), where PSAO parameters are derived or adjusted based on these already-present parameters. This approach improves filtering efficiency by leveraging existing parameter information while managing interdependence complexity through well-defined functional relationships and standardized calculation methods.
Data Source
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AI summary
The present application relates to a method (300) of determining PSAO parameter values used by pre-Sample Adaptive Offset filtering intended to be applied during encoding or decoding video picture data, wherein said PSAO parameter values are determined dynamically during the encoding or decoding of video picture data.