Video Encoding Quantization Parameter Adaptation
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Solution Overview
Problem
In video coding, the available code words for color components are not well utilized, leading to reduced video quality and coding efficiency due to many code words being unused, resulting in wasteful bit representation.
Innovation Solution
Determining the frequency distribution of color component values to set optimal quantization parameters for transform coefficients and mapping color values to code words based on this distribution, allowing for more efficient encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform quantization parameters are used for all color component values, then the encoding process is simple, but many code words are unused leading to reduced video quality and coding efficiency
Solution Approach 1:
The patent applies local quality by determining separate quantization parameters for different quantization bins based on the frequency distribution of color component values. Instead of using a uniform quantization parameter for all values, the encoder assigns different QP values to different bins, allowing regions with high frequency values to use finer quantization (lower QP) and regions with low frequency values to use coarser quantization (higher QP), thereby optimizing video quality where it matters most while maintaining encoding efficiency.
Solution Approach 2:
The patent changes the quantization parameter based on the frequency distribution characteristics of color component values. The QP is dynamically adjusted according to the determined frequency distribution, transforming from a static uniform QP approach to a dynamic adaptive QP approach that matches the actual data characteristics, thus improving coding efficiency and video quality.
2Adaptability or versatility
If many code words are allocated for color components, then the color representation range is sufficient, but many code words remain unused resulting in wasteful bit representation
Solution Approach 1:
The patent changes the quantization step size dynamically based on the frequency distribution of color component values. For color components with high frequency values, a smaller quantization step size is used to maintain precision, while for low frequency values, a larger step size is used to reduce bit consumption. This adaptive parameter adjustment ensures that the available code words are utilized efficiently without wasting bits on rarely used color values.
Solution Approach 2:
The patent applies partial action by allocating quantization precision selectively only where needed. Instead of uniformly applying fine quantization across all color component values (which would waste bits), the encoder applies fine quantization only to the specific bins that contain actual data, while using coarser quantization for bins that would otherwise remain unused, thus eliminating bit waste while maintaining necessary color representation range.
3Productivity
If standard quantization parameters are used without frequency distribution analysis, then the encoding process is fast, but coding artifacts increase and coding efficiency decreases
Solution Approach 1:
The patent applies preliminary action by performing frequency distribution analysis and determining optimal quantization parameters for each bin before the actual encoding process. This pre-computation step allows the encoder to have all necessary QP values ready, avoiding complex calculations during encoding and thus maintaining high encoding speed while achieving optimal coding efficiency through adaptive quantization parameter selection.
Data Source
AI summary
There are provided mechanisms for encoding a picture of a video sequence in a video bitstream. The picture comprises pixels wherein each pixel has a color value comprising at least one color component value. The method comprises determining a frequency distribution of the color component values of the at least one color component. The method comprises determining at least one quantization parameter for coding of transform coefficients for the at least one color component based on the determined frequency distribution of the color component values. The method comprises encoding the determined at least one quantization parameter.


