Video Quantization Parameter Modulation for Low Bit-Rate Efficiency
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Solution Overview
Problem
Existing video encoding technologies face sub-optimal performance at low bit-rates due to excessive resource allocation to motion vectors, leading to inefficient resource management and perceptual quality issues.
Innovation Solution
The method involves determining the degree of randomness in video content blocks and modulating the quantization parameter (QP) based on this randomness to differentiate between stationary and random blocks, applying coarse quantization to random blocks and fine quantization to stationary blocks, thereby optimizing bit-rate allocation and maintaining video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform quantization is applied to all video blocks, then the encoding process is simple, but compression efficiency and perceptual quality deteriorate at low bit-rates
Solution Approach 1:
The patent applies different quantization parameters (QP) to different video blocks based on their motion characteristics. Blocks with high motion activity receive different QP values compared to blocks with low motion activity, allowing optimized compression efficiency and perceptual quality at low bit-rates while maintaining manageable encoding complexity through automated motion analysis
2Reliability
If more resources are allocated to motion vectors, then motion compensation improves, but resource management becomes inefficient and quality deteriorates
Solution Approach 1:
The patent dynamically adjusts the quantization parameter (QP) based on motion information analysis. By changing the QP parameter according to the motion characteristics of each block, the system efficiently allocates resources between motion vectors and residual data, improving both motion compensation quality and resource management efficiency simultaneously
3Manufacturing precision
If fine quantization is applied to all blocks, then perceptual quality is maintained, but bit-rate consumption increases excessively
Solution Approach 1:
The patent applies fine quantization (lower QP values) selectively to blocks with low motion activity where perceptual quality is most important, while using coarser quantization (higher QP values) for blocks with high motion activity where compression efficiency is prioritized. This local differentiation maintains perceptual quality without excessive bit-rate consumption
Data Source
AI summary
Several methods, systems, and computer program products for quantization of video content are disclosed. In an embodiment, the method includes determining by a processing module, motion information associated with a block of video data of the video content. A degree of randomness associated with the block of video data is determined by the processing module based on the motion information. A value of a quantization parameter (QP) associated with the block of video data is modulated by a quantization module based on the determined degree of randomness.