Video Decoding High Level Syntax Parsing Optimization
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Solution Overview
Problem
The increasing demand for high resolution and high quality images/videos, such as 4K and 8K Ultra High Definition, poses challenges in efficient compression, transmission, and storage due to the higher amount of information required.
Innovation Solution
A method and apparatus for enhancing image/video coding efficiency by processing high level syntax, skipping parsing of general constraint information, and processing profile, tier, and level information separately from general constraint information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general constraint information is fully parsed in high level syntax processing, then decoding accuracy is improved, but processing time increases
Solution Approach 1:
The patent extracts and separates the parsing of constraint information from the general high level syntax processing. By identifying that not all constraint information is necessary for every decoding operation, the system selectively parses only the relevant constraint parameters needed for the current decoding task, thereby reducing processing time while maintaining decoding accuracy for essential parameters.
Solution Approach 2:
The patent segments the general constraint information into different categories and processes them at different stages. Critical constraint information is parsed and applied immediately for accurate decoding, while less critical constraint information is processed separately or skipped in certain contexts, achieving a balance between decoding accuracy and processing efficiency.
2Manufacturing precision
If high resolution and high quality image/video data are transmitted, then image quality is improved, but transmission cost increases
Solution Approach 1:
The patent changes the parameter representation efficiency by optimizing how constraint information is encoded and transmitted. By using more efficient syntax structures and parameter representations in the high level syntax, the system reduces the number of bits required to transmit the same amount of constraint information, thereby reducing transmission cost while maintaining the ability to decode high resolution and high quality images.
3Adaptability or versatility
If general constraint information is always parsed, then compatibility is improved, but processing efficiency decreases
Solution Approach 1:
The patent introduces dynamic processing of constraint information based on the specific decoding context. The system adaptively determines whether to parse general constraint information based on factors such as the picture type, coding mode, and previously decoded information. This dynamic approach maintains compatibility across different scenarios while significantly improving processing efficiency by avoiding unnecessary parsing operations.
Data Source
AI summary
A video decoding method performed by a video decoding apparatus, according to the present document, comprises the steps of: acquiring general constraint information from a bitstream; parsing, from the bitstream, a flag indicating whether or not the general constraint information includes information about constraints to which output layer sets conform; parsing the information about the constraints in the general constraint information on the basis of the flag; and decoding a current picture on the basis of the information about the constraints, wherein the general constraint information includes number information and alignment information about the constraints, and, within the general constraint information, the alignment information may be present after the number information.