Hierarchical Scaling List Signaling for Video Coding Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images and videos, such as UHD images and videos of 4K or 8K, poses a challenge due to the increased amount of information required for transmission and storage, leading to higher costs. Additionally, the need for efficient compression techniques to support immersive media formats like VR and AR is becoming more pressing.
Innovation Solution
The proposed solution involves signaling scaling list data through an adaptation parameter set (APS) and using an APS ID to represent the ID of the APS referred to for the scaling list data in header information. This method enables hierarchical signaling of enabled flag information for the availability of scaling list data, allowing for efficient construction and application of scaling lists in the scaling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality images and videos are transmitted and stored, then image and video quality is improved, but transmission costs and storage costs are increased
Solution Approach 1:
The patent applies parameter changes by modifying the scaling list parameters during the scaling process. Specifically, it signals scaling list data through adaptation parameter sets (APS) with different scaling list types (e.g., first scaling list for luma, second scaling list for chroma). By changing these parameters adaptively based on image characteristics and quality requirements, the system achieves high image quality while reducing the overall amount of information that needs to be transmitted and stored, thus resolving the contradiction between quality improvement and data quantity reduction.
2Productivity
If scaling list data is signaled through multiple hierarchical levels (SPS, APS, header information), then coding efficiency is improved, but signaling complexity is increased
Solution Approach 1:
The patent segments the signaling of scaling list data into multiple hierarchical levels: sequence parameter set (SPS), adaptation parameter sets (APS), and picture/slice/tile group headers. Each level carries specific scaling list information relevant to that scope. This segmentation allows the system to signal scaling parameters efficiently at different granularities, improving coding efficiency while managing complexity through structured organization rather than monolithic signaling.
Solution Approach 2:
The patent introduces a new dimension to the signaling structure by using adaptation parameter sets (APS) as an intermediate layer between SPS and picture-level headers. This additional hierarchical dimension enables flexible and efficient signaling of scaling list data, allowing the system to balance between signaling completeness and complexity reduction by leveraging the APS layer for common scaling parameters and reserving picture-level signaling for specific case information.
3Productivity
If adaptive frequency weighting quantization is applied in the scaling process, then compression efficiency is improved, but the need for complex signaling methods increases
Solution Approach 1:
The patent implements adaptive frequency weighting quantization by dynamically changing scaling list parameters during the scaling process. Different scaling list types are applied to different color components (luma vs. chroma), and the scaling factors are adjusted based on image characteristics and quality requirements. This parameter adaptation enables efficient compression while the hierarchical signaling structure (SPS → APS → picture header) manages the complexity of signaling these adaptive parameters.
Data Source
AI summary
According to the disclosure of the present document, scaling list data and scaling list-related information may be signaled hierarchically, thereby reducing the amount of data to be signaled for video/image coding and increasing coding efficiency.