Adaptive Dependent Quantization for Video Coding Efficiency
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Solution Overview
Problem
Current video coding technologies lack flexibility and efficiency in applying dependent quantization parameters across different video units, leading to suboptimal coding performance due to the use of constant quantization states within a sequence.
Innovation Solution
The proposed solution allows for adaptive dependent quantization selection with multiple choices of quantization states or context modeling/entropy coding methods to be applied to different video units within a sequence, enabling flexible and efficient coding by varying quantization parameters based on specific video unit characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If constant quantization parameters are applied across all video units in a sequence, then device complexity is reduced and ease of operation is improved, but coding efficiency and adaptability to diverse video content deteriorate
Solution Approach 1:
The patent applies different quantization parameters to different video units (tiles, slices, or pictures) based on their specific characteristics. This allows each local region to be optimized independently for its content type, improving overall coding efficiency while maintaining manageable complexity through structured parameter differentiation.
Solution Approach 2:
The video sequence is divided into multiple video units (tiles, slices, or pictures), and different quantization parameters are applied to each segment. This segmentation enables adaptive optimization for diverse content types within the same bitstream without requiring complex global parameter management.
2Productivity
If multiple dependent quantization parameters are applied to different video units, then coding efficiency is improved, but the complexity of parameter selection and management increases
Solution Approach 1:
The patent introduces dynamic selection of dependent quantization parameters based on video unit characteristics such as content type, resolution, or complexity metrics. This dynamic approach allows the system to adapt parameters in real-time during encoding, improving coding efficiency while the selection criteria provide structured guidance to manage complexity.
Solution Approach 2:
Different dependent quantization parameters (such as different numbers of states or different context modeling methods) are applied to different video units based on their specific characteristics. This parameter differentiation optimizes coding efficiency for diverse content while the parameters are selected from predefined sets to manage complexity.
3Productivity
If adaptive dependent quantization with multiple choices is implemented, then flexibility and coding efficiency are enhanced, but the difficulty of detecting and measuring optimal parameters increases
Solution Approach 1:
The patent employs rate-distortion optimization with feedback mechanisms to select optimal dependent quantization parameters for each video unit. The encoder evaluates multiple parameter choices and selects the one that achieves the best balance between compression ratio and reconstruction quality, with the selection criteria providing structured guidance to manage complexity.
Solution Approach 2:
The patent pre-defines sets of available dependent quantization parameters (such as different numbers of states or different context modeling methods) that can be selected for different video units. This preliminary preparation reduces the search space and makes parameter selection more manageable while still providing adequate flexibility for optimization.
Data Source
AI summary
A method of processing video data includes selecting a first dependent quantization (DQ) parameter to be applied to a first video unit within a sequence; selecting a second DQ parameter to be applied to a second video unit within the sequence, wherein the second DQ parameter is different from the first DQ parameter; and converting between a video media file and a bitstream based on the first DQ parameter and the second DQ parameter that were selected. A corresponding video coding apparatus and non-transitory computer readable medium are also disclosed.