Hybrid Pixel Recursive Transform Video Coding
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Solution Overview
Problem
Existing video signal compression technologies face limitations in achieving high-quality prediction due to their reliance on either prediction coding, which neglects statistical dependency, or transform coding, which depends solely on initial data, leading to suboptimal compression efficiency.
Innovation Solution
A method that integrates pixel recursive coding and transform coding to generate an enhanced prediction signal by applying prediction weights to reconstructed and motion-compensated pixels, optimizing quantized transform coefficients through rate-distortion optimization, and using a hybrid inter/intra-prediction tool based on spatio-temporal video characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If prediction coding is used, then compression efficiency is improved by utilizing already coded parts, but statistical dependency cannot be used leading to limited prediction accuracy
Solution Approach 1:
The patent combines prediction coding and transform coding into a hybrid approach where prediction coding provides the base prediction and transform coding refines it by exploiting statistical dependencies in the prediction error, thereby achieving both compression efficiency and high prediction accuracy
2Productivity
If transform coding is used, then statistical dependency is exploited for compression, but prediction quality deteriorates due to dependence on first available data only
Solution Approach 1:
The patent segments the coding process into two distinct stages: first prediction coding generates an initial prediction using already coded parts, then transform coding processes the prediction error separately to exploit statistical dependencies, allowing each stage to optimize for its specific function
3Measurement precision
If hybrid coding coupling prediction and transform coding is used, then advantages of both methods are utilized, but device complexity increases
Solution Approach 1:
The patent performs prediction coding first to generate a preliminary prediction signal, then uses transform coding on the residual error. This preliminary action structure allows the system to achieve high prediction quality while managing complexity by processing signals in a staged manner rather than simultaneously
Data Source
AI summary
The present invention provides a method for encoding a video signal by using an enhanced prediction signal, the method comprising the steps of: generating a prediction signal for a current block, wherein the prediction signal is generated by applying a prediction weight to a reconstructed pixel of the current block and a pixel of a motion-compensated previously decoded block; obtaining an optimal quantized transform coefficient for the current block through rate-distortion optimization, on the basis of the prediction signal; and performing entropy encoding of the optimal quantized transform coefficient.