Scaling List Signaling for Video Coding Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and high-quality images and videos, particularly for immersive media like VR and AR, necessitates a high-efficiency image and video compression technology to reduce transmission and storage costs while maintaining subjective and objective visual quality.
Innovation Solution
The method involves signaling scaling list data through an adaptation parameter set (APS) with APS identification information, type information, available flag information, and constraint flag information, allowing for hierarchical signaling and efficient application of a scaling list-based scaling process in image and video coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image and video data are transmitted using existing wideband lines or storage media, then transmission quality and visual quality are improved, but transmission costs and storage costs are increased
Solution Approach 1:
The patent extracts and transmits only the essential residual information after prediction and transformation, rather than transmitting the entire high-resolution image data. By removing redundant information through transform coding and quantization, the system achieves high visual quality reconstruction with significantly reduced bit rates, resolving the contradiction between quality and transmission cost.
Solution Approach 2:
The patent changes the representation parameters of image data by transforming spatial domain data into frequency domain coefficients, then applying quantization to adjust the precision of different frequency components. This parameter transformation allows high-quality reconstruction while reducing the amount of data that needs to be transmitted, thereby lowering transmission costs.
2Productivity
If adaptive frequency weighting quantization technique is applied in the scaling process, then compression efficiency is improved and visual quality is increased, but signaling complexity is increased
Solution Approach 1:
The patent changes the quantization parameters adaptively based on frequency characteristics, applying different quantization strengths to different frequency bands. By modifying the scaling list parameters to reflect frequency-weighted quantization, the system achieves improved compression efficiency and visual quality while the parameter changes themselves serve as the signaling mechanism, balancing complexity and performance.
Data Source
AI summary
According to a disclosure of the present document, scaling list data and scaling list-related information may be hierarchically signaled, and through same, the amount of data which must be signaled for video/image coding may be reduced, and coding efficiency may be increased.