Region-Based De-Artifact Filter Parameter Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video encoding standards, such as MPEG-4 AVC, face challenges in effectively reducing artifacts like distortion and texture corruption due to coarse quantization, as they do not adapt filtering parameters based on video content, leading to suboptimal de-artifacting performance.
Innovation Solution
Implementing region-based filter parameter selection for de-artifact filtering, which allows for adaptive filtering based on video content, including non-block-boundaries and block boundaries, to improve filtering efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed filtering parameters are used for de-artifact filtering, then device complexity is reduced, but de-artifacting performance deteriorates due to inability to adapt to different video content and regions
Solution Approach 1:
The patent applies local quality by dividing the video picture into different regions (block boundaries, non-block boundaries, and other regions) and assigning different filtering parameters to each region type. This allows the filter to adapt to local characteristics of different areas in the picture, improving de-artifacting performance for edges and textures while maintaining efficiency through region-based classification rather than pixel-level analysis.
Solution Approach 2:
The patent segments the filtering process by categorizing picture elements into distinct regions (block boundaries, non-block boundaries, and other regions). Each segment is then processed with appropriate filtering parameters, enabling differentiated treatment of different artifact-prone areas without requiring complex global analysis.
2Reliability
If adaptive filtering based on video content is implemented, then de-artifacting performance is improved, but computational complexity increases
Solution Approach 1:
The patent implements adaptive filtering by selecting different filtering parameters based on the local characteristics of each region. Block boundary regions use parameters optimized for discontinuities, non-block boundary regions use parameters for smooth areas, and other regions use parameters for textures. This content-adaptive approach improves de-artifacting performance while maintaining coding efficiency through region-based rather than pixel-level adaptation.
3Measurement precision
If region-based filter parameter selection is used, then filtering accuracy is improved for different video regions, but device complexity increases due to multiple parameter sets
Solution Approach 1:
The patent achieves filtering accuracy by matching specific filtering parameters to specific region types. Block boundary regions receive parameters designed for discontinuity suppression, non-block boundary regions receive parameters for smooth area preservation, and other regions receive parameters for texture maintenance. This targeted parameter selection improves filtering accuracy while managing complexity through clear region classification.
Data Source
AI summary
Methods and apparatus are provided for region-based filter parameter selection for de-artifact filtering. An apparatus includes an encoder for encoding picture data for at least a region of a picture. The encoder includes a de-artifact filter for performing de-artifact filtering on the region using region-based filter parameter selection. The region includes any of a non-block-boundary, a block boundary, a combination thereof, and the non-block-boundary to an exclusion of any block boundaries.