Spatial Scalability Picture-Level Adaptation
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Solution Overview
Problem
Existing video coding technologies, such as H.264/MPEG-4 AVC, lack support for non-dyadic spatial scalability, limiting their ability to handle resolutions that are not powers of 2, and require computationally cumbersome half-sample interpolation for quarter-sample positions, which affects the quality and efficiency of picture up-sampling in spatial scalable video coding.
Innovation Solution
The proposed solution introduces a method for extended spatial scalability with picture-level adaptation, allowing for non-dyadic scaling by refining inter-layer prediction methods and using direct interpolation with 6-tap filters for finer resolution, reducing computational complexity and improving up-sampled picture quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quarter-sample interpolation is used for picture up-sampling, then the interpolation resolution is limited to quarter samples, but this limitation prevents support for non-dyadic scaling
Solution Approach 1:
The patent changes the interpolation resolution parameter from quarter-sample to sixteenth-sample, enabling finer resolution up-sampling. This parameter change allows the system to support non-dyadic scaling ratios while maintaining high interpolation quality, as the finer resolution provides the necessary precision for arbitrary scaling factors.
2Measurement precision
If half-sample interpolation is used to achieve quarter-sample position, then the desired resolution is obtained, but the computational complexity increases
Solution Approach 1:
The patent replaces the multi-stage mechanical-like process of half-sample followed by quarter-sample interpolation with a direct sixteenth-sample interpolation mechanism. This substitution eliminates the need for sequential processing stages, reducing computational complexity while achieving the desired fine resolution directly in a single step.
3Object-affected harmful factors
If low pass filtering is applied to all blocks, then blocking artifacts are reduced, but blurring artifacts are introduced and processing resources are wasted
Solution Approach 1:
The patent applies local quality by filtering only those blocks that actually contain blocking artifacts, rather than uniformly filtering all blocks. This selective filtering approach preserves image quality in regions without artifacts while reducing unnecessary blurring and processing overhead in regions where blocking artifacts are absent.
Data Source
AI summary
Embodiments of the present invention comprise systems and methods for modification of motion vectors in spatial scalable video coding. Some embodiments of the present invention comprise methods and systems designed for use with the Scalable Video Coding extension of H.264/MPEG-4 AVC.