Residual Signal Mapping for Lower-Entropy Video Coding
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Solution Overview
Problem
Existing video coding techniques face challenges in efficiently handling diverse distributions of residual signals, leading to increased entropy and decreased coding performance, particularly with increasing image sizes, resolutions, and frame rates.
Innovation Solution
A video coding method and apparatus that utilize mapping of residual signals, allowing for the encoding and decoding of residual samples based on mapping data, which involves generating and encoding prediction blocks and residual samples using mapping and inverse mapping processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video coding techniques are used, then video data can be compressed and transmitted, but the entropy of residual signals increases with diverse sample value distributions, leading to decreased coding performance
Solution Approach 1:
The patent applies parameter changes by transforming residual signal values through mapping functions that adapt to different distribution characteristics. The residual signals are mapped to a new range using parameters such as scale factors and offset values, which are optimized based on the observed distribution of sample values. This allows the coding system to handle diverse distributions effectively, maintaining coding performance while improving efficiency.
Solution Approach 2:
The patent implements dynamics by making the residual signal mapping adaptive rather than static. The mapping parameters are determined dynamically based on the actual distribution characteristics of the residual signals in each block or region. This dynamic adaptation allows the system to respond to varying distribution patterns, preventing entropy increase and maintaining optimal coding performance across different video content types.
2Manufacturing precision
If image size, resolution, and frame rate are increased, then video quality is improved, but the amount of data to be encoded increases
Solution Approach 1:
The patent uses parameter changes to compress high-resolution, high-frame-rate video data efficiently. By applying adaptive mapping transformations to residual signals, the system reduces the entropy and bit representation requirements while preserving the visual quality of high-definition content. This allows increased image size and frame rate without proportionally increasing data transmission requirements.
3Device complexity
If residual signals are not mapped, then encoding is simpler, but diverse distributions of residual signals increase entropy and decrease coding performance
Solution Approach 1:
The patent introduces parameter changes through mapping transformations that adapt residual signal representations to their actual distributions. By using scale factors, offset values, and mapping functions tailored to each block's characteristics, the system achieves better compression efficiency without excessive complexity. The mapping parameters are derived from statistical properties of the residual signals, providing an efficient balance between complexity and performance.
Data Source
AI summary
A video decoding apparatus for decoding a current block includes at least one processor configured to decode, from a bitstream, prediction information of the current block; generate a prediction block of the current block by using the prediction information; and generate a reconstructed block that is included in a reconstructed video by adding the prediction block and residual samples.