Single Pass Filter Coefficients Selection for Media Encoding
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Solution Overview
Problem
Conventional filtering approaches for encoding artifacts in media content introduce significant latency due to complex operations in determining filter coefficients, leading to inefficiencies in both encoding and decoding processes.
Innovation Solution
The implementation of a single-pass filter coefficients selection method, where an encoder maintains a historical record of filter coefficient performance across frames to quickly identify optimal coefficients for each frame, reducing encoding latency by providing these coefficients directly in the encoded media content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional two-pass filtering approach is used to determine optimal filter coefficients, then filtering effectiveness is improved, but encoding latency increases significantly
Solution Approach 1:
The patent pre-calculates and stores filter coefficient performance data for multiple candidate coefficients during an initialization phase. This preliminary action allows the encoder to quickly retrieve and select optimal coefficients during actual encoding without performing complex real-time calculations, thus resolving the contradiction between filtering effectiveness and encoding latency
Solution Approach 2:
The decoder pre-receives and stores filter coefficient information along with the encoded media content. This allows the decoder to immediately apply appropriate filters without waiting for coefficient calculation, reducing decoding latency while maintaining effective artifact removal
2Manufacturing precision
If complex operations are performed to determine appropriate filter coefficients, then filtering quality is improved, but processing speed decreases
Solution Approach 1:
The system pre-evaluates multiple filter coefficient candidates and stores their performance characteristics in advance. During encoding and decoding, the system simply retrieves pre-evaluated coefficients rather than performing complex real-time optimization, thereby maintaining high filtering quality while significantly improving processing speed
Solution Approach 2:
The patent uses pre-computed filter coefficient data as a substitute for real-time calculation. By copying and storing optimal coefficient values determined in advance, the system avoids repetitive complex calculations while maintaining the same filtering quality, thus resolving the contradiction between quality and speed
Data Source
AI summary
Techniques for encoding and decoding media content, and more specifically to selecting filter coefficients for filtering coding artifacts from the encoded media content are described. The filter coefficients are selected by an encoder for a given frame based on a statistical record of one or more previous frames in a data stream. The statistical record indicates the effectiveness of different sets of filter coefficients in reducing encoding artifacts for the one or more previous frames. By employing the statistical record to select filter coefficients for the next frame in the data stream, the encoder is able to select the filter coefficients relatively quickly, reducing encoding latency while ensuring that a decoder is able to effectively decode the encoded frames.