Adaptive Interpolation Filter Selection for Video Compression
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Solution Overview
Problem
High-efficiency video coding (HEVC) faces challenges in sub-pixel interpolation due to fixed and adaptive interpolation filters that do not optimally address signal distortion and noise cancellation across varying video content, leading to sub-optimal compression performance.
Innovation Solution
The method involves determining multiple sets of interpolation filters with different phase offset characteristics for sub-pixel interpolation, allowing for adaptive selection based on characteristics such as statistical information and coding conditions, to balance signal distortion and noise cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed interpolation filters are used for sub-pixel interpolation, then device complexity is reduced, but compression performance deteriorates due to inability to adapt to varying video content characteristics
Solution Approach 1:
The patent implements dynamic selection of interpolation filters based on video content characteristics. Multiple interpolation filter sets with different phase offset characteristics are prepared, and the appropriate set is selected adaptively according to the statistical information and coding conditions of the current video content, allowing the system to transition from static to dynamic operation.
Solution Approach 2:
The patent changes the parameters of interpolation filters by providing multiple sets with different phase offset characteristics. The system selects appropriate filter sets by adjusting parameters such as phase offsets based on video content analysis, thereby optimizing interpolation performance for different coding conditions without requiring complete redesign of the filter structure.
2Productivity
If adaptive interpolation filters are used to optimize compression performance, then compression efficiency improves, but device complexity increases due to multiple filter sets and selection mechanisms
Solution Approach 1:
Instead of completely different filter structures, the patent uses multiple filter sets that differ primarily in phase offset parameters. This allows adaptive optimization of compression performance while limiting complexity increases to parameter management rather than structural complexity.
Solution Approach 2:
The patent introduces dynamic filter selection based on video content analysis, but implements it through a manageable framework where filter sets are pre-defined with different phase offset characteristics. The selection mechanism adapts to content characteristics while maintaining controlled complexity through systematic organization of filter options.
3Ease of manufacture
If uniform phase offset spacing is used for interpolation, then ease of implementation is improved, but manufacturing precision deteriorates due to sub-optimal signal distortion and noise cancellation
Solution Approach 1:
The patent provides multiple interpolation filter sets with different phase offset characteristics, including non-uniform spacing options. The system can select filter sets with appropriate phase offset spacing based on video content characteristics, thereby optimizing precision without requiring complex real-time calculation of phase offsets.
Solution Approach 2:
The patent enables dynamic selection of phase offset spacing characteristics based on video content analysis. Different phase offset spacing patterns (uniform or non-uniform) can be selected adaptively according to the statistical information and coding conditions, allowing the system to optimize precision for different content types while maintaining implementation feasibility.
4Manufacturing precision
If non-uniform phase offset spacing is used to optimize signal distortion and noise cancellation, then manufacturing precision improves, but ease of manufacture deteriorates due to complex filter design and selection
Solution Approach 1:
The patent introduces dynamic selection of interpolation filter sets with different phase offset characteristics based on video content analysis. This allows non-uniform phase offset spacing to be applied selectively when beneficial for signal distortion optimization, while maintaining simpler uniform spacing options for other cases, thereby balancing precision and implementation ease.
Solution Approach 2:
The patent optimizes signal distortion and noise cancellation by providing multiple filter sets with different phase offset parameters. The system adjusts phase offset spacing parameters based on video content characteristics, enabling precision optimization through parameter selection rather than requiring complex real-time calculation and implementation.
Data Source
AI summary
In one embodiment, a method for encoding or decoding video content is provided. The method determines a plurality of sets of interpolation filters for use in interpolating sub-pel pixel values for a temporal prediction process of video content. Different sets of interpolation filters include different phase offset characteristics. A unit of video content is received. The method then selects one of the set of interpolation filters to interpolate a set of sub-pel pixel values for use in the temporal prediction process for the unit of video content based on characteristics associated with the encoding or decoding of the video content. The one of the set of interpolation filters is selected based on the phase offset characteristic of the one of the set of interpolation filters and the characteristics associated with the encoding or decoding.