Hybrid Video Coding Using Non-Linear Prediction Correction Signals
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Solution Overview
Problem
Existing video compression methods, such as predictive and transform coding, are inefficient in handling non-smooth or non-stationary signals and do not fully utilize the limitations of human visual and auditory systems, and hybrid coding techniques face challenges in integrating the advantages of both methods effectively.
Innovation Solution
A method that combines predictive and transform coding by using a non-linear transform block, where a correction signal is generated by comparing the original video signal with reconstructed signals, and an optimized non-linear prediction function is selected to minimize distortion and rate measurement values, allowing for efficient coding of high-quality video signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If predictive coding is used to process non-smooth or non-stationary signals, then prediction accuracy is improved, but compression efficiency deteriorates because statistical dependency cannot be used
Solution Approach 1:
The patent merges predictive coding and transform coding into a unified hybrid framework where predictive coding handles non-smooth/non-stationary signals at sample level while transform coding processes the prediction errors to enable statistical dependency exploitation, thereby resolving the contradiction between prediction accuracy and compression efficiency
2Productivity
If transform coding is used to decompose signals, then compression efficiency is improved, but prediction quality deteriorates because it depends on first available data
Solution Approach 1:
The patent segments the coding process into two distinct stages: first applying predictive coding to generate high-quality predictions using all available data, then applying transform coding to the prediction errors. This segmentation allows each method to operate in its optimal domain, resolving the contradiction between compression efficiency and prediction quality
3Productivity
If quantization is applied to original video signal in predictive coding, then compression is achieved, but human visual system limitations cannot be utilized
Solution Approach 1:
The patent introduces transform coding as an intermediary step between prediction and quantization. The transform converts prediction errors into frequency domain coefficients, allowing quantization to be applied in a way that exploits human visual system characteristics (less sensitive to high-frequency components), thereby resolving the contradiction between compression rate and adaptability to human visual system
Data Source
AI summary
Disclosed herein is a method of encoding a video signal, comprising receiving an original video signal; comparing the original video signal with available reconstructed signals; determining a correction signal based on a result of the comparison; and generating a transform-coded correction signal to be transmitted for a signal reconstruction.