APS Scaling List Hierarchy for Lower-Memory Video Coding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images and videos, particularly in immersive media formats like VR and AR, has led to higher transmission and storage costs due to increased data volume, necessitating a high-efficiency compression technology.
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, thereby improving coding efficiency by parsing scaling list data individually in an APS rather than directly in SPS or PPS levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scaling list data is signaled directly in SPS or PPS level, then coding efficiency can be improved, but device complexity and memory requirements increase
Solution Approach 1:
The patent segments the parameter set structure by introducing APS (Adaptation Parameter Set) as a separate layer between SPS and PPS. Scaling list data is specifically assigned to APS, dividing the signaling responsibilities and allowing efficient access without requiring all devices to maintain complete scaling list data in high-level structures, thus reducing memory requirements while preserving coding efficiency.
Solution Approach 2:
APS acts as an intermediary parameter set between SPS and PPS. It mediates the signaling of scaling list data, allowing the data to be efficiently transmitted and accessed without directly increasing the complexity of SPS or PPS structures. This intermediary layer enables selective parsing and reduced memory burden on decoding devices.
2Measurement precision
If high-resolution and high-quality image and video data are transmitted, then image quality is improved, but transmission costs and storage costs increase
Solution Approach 1:
The patent applies parameter changes through the scaling list mechanism in APS, which modifies quantization parameters to optimize compression efficiency. By adjusting scaling list values, the system achieves high-quality reconstruction from compressed data, maintaining image quality while reducing the actual data transmission and storage requirements.
3Adaptability or versatility
If scaling list data is hierarchically signaled with enabled flag information, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent introduces dynamic control through enabled flag information in the hierarchical structure. The flags allow the system to adaptively enable or disable scaling list data at different levels (SPS, PPS, APS) based on actual needs, providing flexibility without requiring devices to always process complete scaling list data structures, thus managing complexity while maintaining adaptability.
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.


