Adaptive Quantization Matrix Selection for Segment-Based Video Coding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video coding techniques face challenges in achieving flexible and efficient compression by either explicitly encoding a quantization matrix (QM) for each frame, which reduces flexibility, or using default QMs that do not support user-defined QMs, leading to inconsistent quality across video segments.
Innovation Solution
A video coding technique that supports user-defined QMs, does not explicitly encode a QM for each frame, and allows multiple QMs within a single frame, using adaptive selection and assignment based on spatial features and feedback to optimize compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a quantization matrix is explicitly encoded for each frame, then compression flexibility is improved, but device complexity and encoding overhead increase
Solution Approach 1:
The video sequence is divided into segments (groups of pictures) that share common quantization matrices. Instead of encoding QMs for every frame, the patent segments the video stream and applies QMs at the segment level, reducing redundancy while maintaining adaptability within each segment.
Solution Approach 2:
Quantization matrices are selected and configured in advance for segments rather than determined frame-by-frame. The patent uses segment-level headers to indicate QM selection, allowing the decoder to prepare QMs beforehand for entire segments, reducing real-time encoding complexity.
2Device complexity
If default quantization matrices are used, then device complexity is reduced, but visual quality consistency across video segments deteriorates
Solution Approach 1:
The patent introduces dynamic QM selection at the segment level, allowing the system to adapt QMs to different video content characteristics (e.g., texture complexity, motion levels) while maintaining simpler default behavior for uniform segments. This dynamic adaptation improves visual quality consistency without requiring complex per-frame analysis.
Solution Approach 2:
The patent changes the parameter control granularity from frame-level to segment-level for QM selection. By allowing QM parameters to vary at segment boundaries based on content analysis, the system achieves better visual quality consistency across diverse video segments while avoiding the complexity of frame-by-frame parameter changes.
3Manufacturing precision
If multiple quantization matrices are supported within a single frame, then visual quality is improved, but device complexity increases
Solution Approach 1:
The patent divides frames into multiple segments (e.g., slices or prediction units) that can be assigned different QMs. This segmentation allows high-quality localized compression in important regions while using simpler QMs in less critical areas, improving overall visual quality without requiring complex per-pixel processing.
Solution Approach 2:
Different QMs are applied to different spatial regions or segments within frames based on local content characteristics. The patent enables regions with high visual importance (e.g., foreground objects, text areas) to use QMs that preserve detail, while background regions use more aggressive compression, achieving localized quality optimization.
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed to encode and decode video using quantization matrices. An example apparatus includes interface circuitry to access an input frame of video, quantization matrix syntax encoder circuitry to encode a set of user-defined quantization matrices into a sequence header associated with a sequence of video frames including the input frame, adaptive quantization matrix selector circuitry to select a subset of quantization matrices from a combination of a set of default quantization matrices and the set of user-defined quantization matrices, adaptive segment selector circuitry to select a first one of the subset of quantization matrices for a first segment of the input frame, the input frame to be divided into a plurality of segments including the first segment, and encoder circuitry to quantize transform coefficients of the first segment of the input frame based on the first one of the subset of quantization matrices.