Hybrid Video Codec Noise Propagation Inversion
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Solution Overview
Problem
Conventional video coding standards face challenges in achieving high compression efficiency due to noise propagation from quantization, which degrades compression quality and efficiency, as noise from previously encoded frames is re-quantized during the encoding of subsequent frames.
Innovation Solution
The proposed solution involves performing motion compensation and spatial prediction after the transform and quantization processes, but before entropy encoding, thereby preventing noise propagation and allowing for optimized transform, quantization, and entropy encoding processes that account for video content characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If motion compensation and spatial prediction are performed before transform and quantization, then compression efficiency is improved, but noise propagation degrades compression quality
Solution Approach 1:
The patent inverts the conventional processing order by performing transform and quantization before motion compensation and spatial prediction. This reversal prevents noise from propagating through subsequent prediction stages while maintaining compression efficiency through optimized residual processing.
Solution Approach 2:
The patent applies preliminary transform and quantization operations before the prediction stages. By performing these operations in advance on the original signal rather than on predicted signals, the system avoids re-quantizing noise and establishes a cleaner basis for subsequent prediction and residual encoding.
2Productivity
If quantization is performed on predicted signals, then compression efficiency is improved, but noise feedback increases
Solution Approach 1:
The patent extracts and processes only the residual signal after prediction, rather than quantizing the entire predicted signal. This selective approach maintains compression efficiency by focusing quantization on the informative residual components while eliminating noise feedback from re-quantizing prediction references.
3Ease of manufacture
If conventional processing order is used, then implementation simplicity is maintained, but rate-control optimization is complicated
Solution Approach 1:
The patent introduces dynamic adaptability in the processing order, allowing the system to flexibly configure the sequence of transform, quantization, and prediction operations. This dynamic arrangement optimizes rate-control by enabling independent tuning of each stage's parameters without being constrained by a fixed conventional order.
Data Source
AI summary
A method for video encoding comprising transforming a plurality of pixels to generate a first plurality of transform coefficients, quantizing the first plurality of transform coefficients to generate a plurality of quantized transform coefficients, computing a plurality of prediction pixels based on a plurality of reconstructed pixels which are prediction references for the plurality of pixels, transforming the plurality of prediction pixels to generate a second plurality of transform coefficients, and computing a plurality of prediction residual coefficients as a difference between the plurality of quantized transform coefficients and the second plurality of transform coefficients.