Layered Video Coding with High-Resolution Interlayer Prediction
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Solution Overview
Problem
Existing spatial-resolution scalable video coding methods face inefficiencies when applied to layered coding due to low correlation between base-layer and enhancement-layer signals, particularly in image enlargement processes, resulting in suboptimal coding efficiency.
Innovation Solution
A video-signal layered coding and decoding system that includes spatial down-scaling, high-resolution estimation, and inter-spatial resolution prediction to enhance coding efficiency by using a spatial down-scaler, encoders, and decoders to produce and reconstruct high-resolution signals with reduced errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the base-layer decoded signal is directly interpolated to produce interlayer predictive signals, then the coding process is simple, but the correlation between enhancement-layer and base-layer signals is low, resulting in poor coding efficiency
Solution Approach 1:
The patent applies preliminary action by performing high-resolution estimation on the base-layer decoded signal before using it for interlayer prediction. The high-resolution estimation procedure reconstructs fine details and high-frequency components in advance, creating a better-quality predictive signal that improves correlation with the enhancement-layer signal without complicating the overall coding process
Solution Approach 2:
The patent changes the resolution parameter of the base-layer decoded signal from low to high through the high-resolution estimation procedure. This parameter transformation allows the predictive signal to match the enhancement-layer signal's resolution characteristics, thereby improving correlation and coding efficiency while maintaining process simplicity
2Measurement precision
If image enlargement methods based on Laplacian pyramid are applied to layered coding, then high-frequency component estimation is improved, but the low correlation between coarse base-layer signals and enhancement-layer signals reduces coding efficiency
Solution Approach 1:
The patent changes the resolution parameter of the base-layer decoded signal from low to high through the high-resolution estimation procedure. This parameter transformation allows the predictive signal to match the enhancement-layer signal's resolution characteristics, thereby improving correlation and coding efficiency while maintaining process simplicity
Solution Approach 2:
The patent uses feedback by comparing the high-resolution estimated signal with the original enhancement-layer signal to refine the estimation process. This feedback mechanism ensures that the reconstructed high-frequency components accurately represent the actual signal characteristics, improving both estimation precision and coding efficiency
3Quantity of substance
If coarse quantization is applied to base-layer signals, then the base-layer signal quality is reduced, but the correlation with enhancement-layer video signal decreases, leading to lower coding efficiency
Solution Approach 1:
The patent applies preliminary action by performing high-resolution estimation on the base-layer decoded signal before using it for interlayer prediction. The high-resolution estimation procedure reconstructs fine details and high-frequency components in advance, creating a better-quality predictive signal that improves correlation with the enhancement-layer signal without complicating the overall coding process
Data Source
AI summary
A video signal is encoded at a plurality of coding layers exhibiting different spatial resolutions. An input video signal is spatially scaled down into a resolution-lowered video signal that exhibits a resolution lower than the video signal. The resolution-lowered video signal is encoded with a decoding procedure to obtain first coded data and a decoded signal. The decoded signal is spatially scaled up through a high-resolution procedure with reference to the input video signal so that the decoded signal has a smaller error with respect to the input video signal, to obtain a high-resolution scaled-up video signal. The input video signal is encoded through inter-spatial resolution prediction using the high-resolution scaled-up video signal as a predictive signal, to obtain second coded data that exhibits a resolution higher than the resolution-lowered video signal.


