Video Signal Residual Coefficient Encoding Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and ultra-high-definition video signals leads to increased data volume, resulting in higher transmission and storage costs, and existing compression technologies are not optimized for efficient encoding and decoding of residual coefficients in such high-quality video content.
Innovation Solution
A method and device that selectively apply inverse transform to residual coefficients during video signal encoding and decoding, using context information to determine whether to skip transform and encode or decode residual coefficients differently, and applying a second transform to the result of a first transform, allowing for more efficient encoding and decoding by adjusting the number of bins based on threshold values and flag conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality video signals are transmitted and stored, then image quality is improved, but transmission and storage expenses increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the number of bins for residual coefficient encoding based on threshold values. The encoder changes the encoding parameters (number of bins) according to the magnitude of residual coefficients, using fewer bins for smaller coefficients and more bins for larger coefficients, thereby optimizing the balance between image quality and transmission cost
2Productivity
If existing compression technologies are used, then some compression is achieved, but encoding and decoding efficiency for residual coefficients is not optimized
Solution Approach 1:
The patent implements dynamics by making the number of bins for residual coefficient encoding variable rather than fixed. The system dynamically adjusts the number of bins based on the actual residual coefficient values and threshold comparisons, allowing the encoding process to adapt to different signal conditions and optimize efficiency for each specific case
3Productivity
If transform is applied to residual coefficients, then encoding efficiency is improved, but decoding complexity increases
Solution Approach 1:
The patent applies feedback by using threshold values to determine whether transform should be applied to residual coefficients. The system feedbacks based on the magnitude of residual coefficients - when coefficients exceed the threshold, transform is applied; when they don't, transform is skipped. This feedback mechanism optimizes the balance between encoding efficiency and decoding complexity
Data Source
AI summary
A video decoding method according to the present disclosure may comprise the steps of: determining whether an inverse transform is skipped in a current block; decoding a residual coefficient of the current block; and selectively applying the inverse transform to the residual coefficient on the basis of the determination. When decoding the residual coefficient, either a first syntax indicating whether the residual coefficient is greater than 0 or a second syntax indicating the absolute value of the residual coefficient may be selectively decoded.