Hierarchical Scaling List Signaling in APS for Video Coding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images and videos, along with immersive media formats, necessitates a high-efficiency compression technology to reduce transmission and storage costs while maintaining subjective and objective visual quality.
Innovation Solution
A method and apparatus for efficiently constructing and signaling scaling list data through an adaptation parameter set (APS), with enabled flag information allowing hierarchical signaling and improved coding efficiency by parsing scaling list data in an APS rather than directly in SPS or PPS levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image and video data are transmitted or stored using existing methods, then image quality is maintained, but transmission costs and storage costs are increased
Solution Approach 1:
The patent extracts and transmits only the essential visual information through efficient compression algorithms, separating critical image data from redundant information. This allows maintaining perceived image quality while reducing the actual data volume for transmission and storage
Solution Approach 2:
The patent employs advanced compression techniques that transform image data into more efficient representations by changing parameters such as color space conversions, frequency domain transformations, and predictive coding parameters, thereby reducing data size while preserving visual quality
2Loss of energy
If conventional compression techniques are used for high-resolution images and videos, then transmission and storage costs are reduced, but visual quality deteriorates
Solution Approach 1:
The patent uses dynamic adaptation of compression parameters based on content characteristics, adjusting compression strength and techniques according to the specific image or video content to maintain visual quality while achieving efficient compression
Solution Approach 2:
The patent incorporates quality assessment mechanisms that provide feedback on compression results, allowing the system to adjust compression parameters to maintain subjective and objective visual quality metrics while achieving cost-effective compression
3Productivity
If scaling list data is directly signaled in SPS or PPS level, then coding efficiency can be improved, but device complexity and memory requirements increase
Solution Approach 1:
The patent divides the parameter set structure into hierarchical levels (SPS, PPS, and APS), placing scaling list data in the APS to separate it from higher-level syntax, thereby reducing the complexity and memory requirements at each level while maintaining coding efficiency
Solution Approach 2:
The patent introduces a new dimension in the parameter set hierarchy by creating APS as an intermediate layer between SPS and PPS, allowing scaling list data to be organized and transmitted more efficiently without increasing overall system complexity
Data Source
AI summary
According to the disclosure of the present document, scaling list data transferred from an adaptation parameter set (APS) can be signaled through a hierarchical structure, and restrictions are placed on the scaling list data transferred from the APS, whereby the amount of data to be signaled for video/image coding can be reduced, and easiness in implementation can be provided.