Adaptive Chroma QP Table Selection for Video Coding Detail Preservation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video coding techniques, particularly for high-definition and ultra-high-definition video sequences, face challenges in maintaining detail and coding efficiency due to the use of fixed chroma quantization parameter (QP) offset tables designed for lower resolution video, which can result in loss of detail in the chroma component.
Innovation Solution
Adaptive selection of multiple luma QP and chroma QP relationship tables based on slice type, prediction mode, and luminance value to determine chroma QP values that better reflect the content of a video frame, allowing for improved coding efficiency and detail preservation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed chroma QP offset tables designed for lower resolution video are used, then device complexity is reduced and ease of operation is improved, but manufacturing precision deteriorates due to loss of detail in the chroma component
Solution Approach 1:
The patent applies dynamics by transitioning from fixed QP offset tables to adaptive selection of multiple QP relationship tables based on content characteristics. The system dynamically selects appropriate QP tables according to slice type, prediction mode, and luminance value, allowing the chroma QP to adapt to different video content scenarios while maintaining operational simplicity through automated selection mechanisms.
Solution Approach 2:
The patent implements parameter changes by introducing multiple QP relationship tables with different chroma QP offsets and selecting among them based on content characteristics. Instead of using a single fixed offset table, the system changes the QP parameters adaptively according to slice type (intra/inter), prediction mode, and luminance levels, thereby preserving chroma detail while maintaining ease of operation through automated parameter selection.
2Manufacturing precision
If adaptive selection of multiple QP tables is implemented, then manufacturing precision is improved by preserving chroma detail, but device complexity increases due to multiple lookup tables and selection logic
Solution Approach 1:
The patent applies local quality by using different QP relationship tables for different regions and characteristics of the video content. Specifically, different QP tables are selected based on slice type (intra-coded vs inter-coded slices), prediction mode, and luminance value ranges, allowing optimized chroma QP settings for each local content characteristic rather than applying a uniform approach throughout the entire video sequence.
Solution Approach 2:
The patent reduces complexity through dynamic adaptation by automatically selecting the appropriate QP table based on content characteristics. The selection process is driven by readily available encoding parameters (slice type, prediction mode, luminance value) that are already determined during the encoding process, making the adaptive selection efficient and integrating smoothly into the existing encoding workflow without requiring complex external control systems.
3Device complexity
If fixed chroma QP offset tables are used, then device complexity is reduced, but productivity deteriorates due to loss of coding efficiency in high-definition video
Solution Approach 1:
The patent improves coding efficiency by changing the QP parameters adaptively based on content characteristics. Multiple QP relationship tables with different chroma QP offsets are prepared, and the appropriate table is selected according to slice type, prediction mode, and luminance value. This allows optimized quantization for different video content scenarios, improving compression efficiency without significantly increasing device complexity since the selection is based on existing encoding parameters.
Solution Approach 2:
The patent enhances productivity through dynamic QP adjustment that adapts to different video content characteristics. By automatically selecting appropriate QP tables based on slice type, prediction mode, and luminance levels, the system optimizes compression performance for each local scenario without requiring manual intervention or complex external control, thereby improving coding efficiency while maintaining coding simplicity through automated adaptation.
4Productivity
If adaptive QP table selection based on slice type and prediction mode is implemented, then productivity is improved through better coding efficiency, but device complexity increases due to multiple selection criteria
Solution Approach 1:
The patent applies segmentation by dividing the video content into different categories based on slice type (intra-coded vs inter-coded slices) and prediction mode. Multiple QP relationship tables are prepared for different segments, and the appropriate table is selected based on the current segment's characteristics. This segmentation approach allows optimized QP settings for each category while maintaining manageable complexity through clear classification rules.
Solution Approach 2:
The patent achieves universality by designing a multi-functional QP selection mechanism that handles multiple selection criteria (slice type, prediction mode, luminance value) through a unified framework. The same selection logic processes different criteria and selects from multiple QP tables, making the system adaptable to various content characteristics without requiring separate complex control mechanisms for each criterion. This universal approach improves coding efficiency across different scenarios while keeping device complexity manageable.
Data Source
AI summary
Provided are systems, methods, and computer-readable medium for encoding and decoding video data. In various examples, a coding device can include multiple luma QP and chroma QP relationship tables. In performing quantization or inverse quantization one video data being encoded or decoded, respectively, the coding device can select a table. The table can be selected based on, for example, a slice type, a prediction mode, and/or a luminance value, among other factors. The coding device can then use the luma QP value to look up a chroma QP value from the table. The luma QP and chroma QP values can then be used in quantization or inverse quantization.