Dynamic Video Coding Propagation Ratios for Lower Redundancy and Code Rate
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Solution Overview
Problem
Existing video coding methods, particularly those based on the CU-Tree algorithm, fail to adequately reduce time redundancy and code rate due to insufficient consideration of code rate and picture content in determining reference relations between blocks.
Innovation Solution
A method that determines an estimated quantization parameter and inter-picture change degree to adjust the propagation ratio of picture blocks to reference blocks, taking into account code rate and scene motion intensity, using algorithms like CU-Tree to optimize video coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the CU-Tree algorithm is used to determine reference relations between blocks, then the coding process is simplified, but the time redundancy and code rate cannot be reduced sufficiently
Solution Approach 1:
The patent adjusts the propagation ratio parameter dynamically based on code rate and scene motion intensity. By changing this key parameter according to different coding conditions, the system optimizes the balance between reference block utilization and coding efficiency, thereby reducing time redundancy while maintaining perceptual quality
Solution Approach 2:
The patent introduces dynamic adjustment mechanisms for the propagation ratio based on real-time analysis of code rate and scene motion characteristics. This dynamic approach allows the coding system to adapt to varying video content and coding conditions, improving time redundancy reduction effectiveness compared to static algorithms
2Loss of time
If the propagation ratio is increased to reduce time redundancy, then the code rate decreases, but the perceptual quality may be affected
Solution Approach 1:
The patent carefully adjusts the propagation ratio parameter within optimal ranges determined by code rate and scene motion intensity. This controlled parameter change ensures time redundancy reduction while maintaining the quality characteristics required for perceptual fidelity
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor both time redundancy reduction effectiveness and perceptual quality metrics. This feedback loop enables real-time optimization of the propagation ratio, ensuring that quality requirements are met while achieving maximum time redundancy reduction
3Quantity of substance
If the code rate is reduced by adjusting reference relations, then the transmission efficiency improves, but the coding complexity increases
Solution Approach 1:
The patent modifies the propagation ratio parameter based on analyzable factors (code rate and scene motion intensity) rather than requiring complex optimization algorithms. This approach reduces code rate effectively while avoiding excessive increases in coding complexity
Solution Approach 2:
The patent performs preliminary analysis of code rate and scene motion intensity before determining the propagation ratio. This pre-processing step simplifies the subsequent coding process by establishing optimal reference relations in advance, reducing overall coding complexity
Data Source
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AI summary
The present disclosure provides a method and an apparatus for coding a video, an electronic device and a storage medium. An estimated quantization parameter of a target picture in a target group of pictures (GOP) is determined (S110). The target GOP is associated to t video to be coded. An inter-picture change degree of the target GOP is determined (S120). A propagation ratio of a target picture block to a reference picture block in the target picture is determined (S130) based on the estimated quantization parameter of the target picture and the inter-picture change degree. The video to be coded is coded (S140) based on the propagation ratio.