Quantization Parameter Signaling for Video Bitrate Optimization
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Solution Overview
Problem
High-definition video monitoring applications face challenges with high bandwidth and storage demands due to the high bitrate of HD video bitstreams, particularly due to the high frequency of I-pictures, which are not dominant in the encoded video but contribute significantly to the overall bitrate.
Innovation Solution
The proposed solution involves adaptive resolution change (ARC) using pixel refinement based on fixed-phase interpolation to reduce the complexity of the algorithm and hardware while maintaining accuracy, and re-evaluating the quantization parameters and chroma offset values in video coding systems to optimize bitrate reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-definition video monitoring is implemented, then video quality is improved, but bandwidth and storage demands increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting quantization parameters (QP) and chroma offset values to optimize the balance between video quality and bitrate. By modifying these coding parameters adaptively, the system reduces bandwidth and storage requirements while maintaining acceptable video quality for monitoring applications
2Measurement precision
If I-picture frequency is increased, then video quality is improved, but overall bitrate increases
Solution Approach 1:
The patent modifies quantization parameters and chroma offset values to reduce the bitrate contribution of I-pictures. By adjusting these parameters specifically for I-picture encoding, the system maintains their high quality benefits while reducing their disproportionate impact on overall bitrate
3Quantity of substance
If quantization parameters are optimized, then bitrate is reduced, but video quality may deteriorate
Solution Approach 1:
The patent applies local quality by differentiating parameter optimization between I-pictures and other picture types. It implements targeted quantization parameter adjustments that maintain higher quality for I-pictures while applying more aggressive compression to other pictures, achieving bitrate reduction without uniform quality degradation
Data Source
AI summary
The present disclosure provides methods for processing video content. One exemplary method comprises: receiving a bitstream comprising coded video data; determining a first parameter of a coding block; determining, according to the first parameter, one or more second parameters associated with a delta quantization parameter (QP) value or a chroma QP offset value; and determining, according to the one or more second parameters, at least one of the delta QP value or the chroma QP offset value.