2D Separable Interpolation Filter Coefficient Thresholding
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Solution Overview
Problem
Current video coding techniques face challenges in achieving improved compression ratios with minimal sacrifice in picture quality, especially when dealing with limited network resources and the need for efficient storage of video data.
Innovation Solution
The implementation of a two-dimensional separable interpolation filter with a method that adjusts filter coefficients to ensure the sum of positive coefficients does not exceed a threshold, preventing overflow and maintaining dynamic range, thereby optimizing the interpolation process for efficient video encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If filter coefficients are adjusted to prevent buffer overflow, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by checking the sum of positive filter coefficients against a threshold before applying the interpolation filter. This preventive measure ensures that buffer overflow cannot occur during the filtering process, thereby improving reliability without requiring complex runtime adjustment mechanisms.
Solution Approach 2:
The patent changes the parameter of filter coefficient summation by introducing a threshold-based constraint. By modifying the parameter space to include a maximum sum constraint, the system prevents buffer overflow while maintaining a relatively simple implementation structure.
2Manufacturing precision
If interpolation filtering is applied to improve picture quality, then manufacturing precision is improved, but loss of information increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting filter coefficients based on the sum of positive coefficients and threshold comparison. This adaptive parameter adjustment optimizes the balance between picture quality improvement and information loss, allowing high-quality interpolation while maintaining compression efficiency.
Solution Approach 2:
The patent introduces dynamics by making the filter coefficient application conditional and adaptive. Rather than using fixed coefficients, the system dynamically adjusts the filtering process based on the calculated sum of positive coefficients, optimizing the trade-off between quality and compression for each specific case.
Data Source
AI summary
A method for operating a two-dimensional (2D) separable interpolation filter for coding a video, wherein the two-dimensional separable interpolation filter comprises a first and a second one-dimensional (1D) interpolation filter and a temporal buffer of a predetermined buffer size, wherein the method comprises: obtaining filter coefficients for the first one-dimensional interpolation filter of the two-dimensional interpolation filter; comparing a sum of positive filter coefficients of the obtained filter coefficients with a threshold; and upon determining that the sum of positive filter coefficients is larger than the threshold, amending one or more of the filter coefficients to obtain amended filter coefficients, wherein the one or more filter coefficients are amended such that a sum of positive filter coefficients of the amended filter coefficients is not larger than the threshold; applying the amended filter coefficients to samples of the video to obtain a value of a fractional sample position of the video; re-scaling the value of the fractional sample position and storing the re-scaled value of the fractional sample position in the temporal buffer.