Coding Tree Adaptive Quantization with Temporal Lookahead Denoising
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Solution Overview
Problem
Existing video compression methods require manual parameter tuning by users, which can lead to negative impacts on different types of content and introduce temporal noise, as users lack knowledge of parameter relations to video sequences.
Innovation Solution
Implement a coding tree-based adaptive quantization system that uses a lookahead pass with a temporal filter to denoise future frames, allowing for adaptive quantization parameter adjustments based on noise reduction, thereby improving coding efficiency and reducing noise-related interdependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual parameter tuning is used for video compression, then compression quality can be adjusted, but temporal noise is introduced and coding efficiency decreases
Solution Approach 1:
The patent applies preliminary action by performing a lookahead pass before the main encoding pass. The lookahead pass analyzes future frames to determine optimal quantization parameters in advance, allowing the main pass to use pre-determined parameters that avoid temporal noise while maintaining compression quality. This is achieved by processing future frames ahead of time and storing the results for use during actual encoding.
Solution Approach 2:
The patent introduces an intermediary element - a temporal filter - that mediates between the raw video frames and the encoding process. The temporal filter removes noise from future frames used in the lookahead pass, preventing noise propagation to reference frames. This intermediary filtering step ensures that parameter tuning benefits are achieved without introducing temporal noise artifacts.
2Measurement precision
If lookahead pass with temporal filter is implemented, then noise effects on motion estimation are reduced, but device complexity increases
Solution Approach 1:
The patent segments the encoding process into two distinct passes: a lookahead pass for analysis and parameter determination, and a main pass for actual encoding. This segmentation allows the complex noise reduction and analysis operations to be separated from the main encoding flow, enabling motion estimation to use pre-processed, noise-free reference frames without permanently increasing the complexity of the core encoding engine.
Solution Approach 2:
The lookahead pass performs preliminary noise reduction and analysis operations before the main encoding pass. By pre-processing future frames with temporal filtering and determining optimal parameters in advance, the system improves motion estimation accuracy without requiring the main encoding path to handle complex noise reduction operations, thus managing device complexity effectively.
3Productivity
If quantization parameters are adjusted adaptively, then coding efficiency is improved, but parameter selection complexity increases
Solution Approach 1:
The patent implements self-service by enabling the encoding system to automatically select optimal quantization parameters through the lookahead pass. The system analyzes future frames, applies temporal filtering, and determines the best parameters without requiring manual user input. This automated parameter selection improves coding efficiency by adapting to actual video content characteristics while eliminating the complexity of manual parameter tuning for end users.
Solution Approach 2:
The lookahead pass provides feedback information about future frame characteristics to the main encoding pass. By analyzing future frames and determining optimal parameters in advance, the system creates a feedback mechanism that guides parameter selection based on actual video content rather than static defaults. This feedback-driven approach improves coding efficiency while the automated nature of the process manages parameter selection complexity.
Data Source
AI summary
Systems and methods herein are for a video encoder to be associated with a temporal filter and a coding tree and that can perform a main pass for video encoding using individual video blocks towards prediction of at least one frame associated with the media stream, where the coding tree is associated with a lookahead pass, and where the temporal filter can enable denoising within the lookahead pass to reduce an effect of noise in one or more of motion estimation or mode selection of the video encoding.