Image Encoding and Decoding HRD Signaling for Multi-Layer Output Sets
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need for high-efficient image compression technology to effectively transmit, store, and reproduce high-resolution and high-quality images, as the increased amount of transmitted information leads to higher transmission and storage costs.
Innovation Solution
The proposed solution involves an image encoding/decoding method and apparatus that improves encoding/decoding efficiency by efficiently signaling Hypothetical Reference Decoder (HRD) parameters and processing bitstreams generated by the image encoding method/apparatus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image resolution and quality are improved, then image quality is improved, but the amount of transmitted information increases
Solution Approach 1:
The patent segments HRD parameters into different syntax structures (vps_general_hrd_params, ols_hrd_params, etc.) and organizes them hierarchically in the bitstream. This segmentation allows efficient signaling by grouping related parameters together and enabling selective transmission based on the specific video configuration, thereby reducing redundant information while maintaining high image quality.
Solution Approach 2:
The patent introduces flexible parameter signaling mechanisms where HRD parameters can be configured at different levels (VPS, SPS, PPS) and adapted to different video sequences. The system allows dynamic adjustment of parameter precision and granularity based on the specific application requirements, enabling optimal balance between image quality and transmission efficiency.
2Measurement precision
If the amount of transmitted information increases, then image quality is improved, but transmission cost increases
Solution Approach 1:
The patent implements partial signaling of HRD parameters by providing default values for certain parameters that can be inferred by the decoder. Only essential parameters that directly impact image quality are explicitly transmitted, while less critical parameters are derived or defaulted, reducing the overall amount of transmitted information and associated transmission costs.
Solution Approach 2:
The system dynamically adjusts the precision and granularity of parameter transmission based on the specific video content and quality requirements. By adapting parameter signaling to the actual needs of each video sequence, the patent minimizes redundant transmission while ensuring sufficient image quality, thereby optimizing transmission cost efficiency.
3Productivity
If HRD parameters are efficiently signaled, then encoding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the HRD parameter signaling process into distinct stages and syntax structures, with clear separation between parameter definition, transmission, and interpretation phases. This segmentation enables modular processing in both encoder and decoder, improving encoding efficiency through systematic parameter handling while maintaining manageable device complexity through structured organization.
Solution Approach 2:
The patent designs a universal HRD parameter signaling framework that can handle multiple types of parameters (timing, bit rate, buffer size) through a unified syntax structure. This multi-functional approach improves encoding efficiency by using consistent processing logic across different parameter types while reducing device complexity through standardized handling procedures.
Data Source
AI summary
Disclosed herein are an image encoding/decoding method and apparatus for signaling hypothetical reference decoder (HRD) related parameters, and a method of transmitting a bitstream. An image decoding method may comprise obtaining first information specifying the number of one or more hypothetical reference decoder (HRD) parameter syntax structures in a video parameter set (VPS), obtaining the one or more HRD parameter syntax structures from the VPS based on the first information, obtaining second information on mapping between one or more multi-layer output layer sets (OLSs) and the one or more HRD parameter syntax structures from the VPS based on the first information, selecting a HRD parameter syntax structure that applies to a current OLS based on the second information, and processing the current OLS based on the selected HRD parameter syntax structure.