SEI Message Processing Order for Efficient Image Bitstreams
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the increased amount of transmitted information or bits, necessitating high-efficient image compression technology.
Innovation Solution
The method involves encoding and decoding image information with improved efficiency by handling supplemental enhancement information (SEI) through prefix information and processing order management, classifying SEI messages, and transmitting bitstreams generated using this method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images are transmitted, then image quality is improved, but transmission cost increases
Solution Approach 1:
The patent segments SEI messages into different types (with or without prefix information) and processes them in distinct ways. Messages without prefix information are processed immediately, while messages with prefix information are deferred to a later processing stage, allowing efficient handling of different message types without treating them uniformly
Solution Approach 2:
The patent performs preliminary classification of SEI messages by prefix information presence during the bitstream parsing stage. This preliminary action determines the processing path early on, avoiding unnecessary processing steps and enabling optimized handling of each message type throughout the decoding process
2Productivity
If SEI messages are processed in traditional order, then processing simplicity is maintained, but processing efficiency decreases
Solution Approach 1:
The patent introduces dynamic processing order management where the processing sequence is not fixed but adapts based on the presence of prefix information in SEI messages. The system dynamically switches between immediate processing mode (for messages without prefix) and deferred processing mode (for messages with prefix), optimizing efficiency without requiring complex reordering mechanisms
Solution Approach 2:
The patent uses prefix information as an intermediary indicator that mediates between the SEI message content and the processing requirements. This intermediary element (the prefix flag) simplifies the decision logic by providing a clear binary distinction that guides the processing path without requiring complex analysis of message content
3Reliability
If all SEI messages are treated uniformly, then processing simplicity is maintained, but message handling accuracy decreases
Solution Approach 1:
The patent applies local quality differentiation by treating different portions of the SEI message stream differently based on their characteristics. Specifically, messages are differentiated by the presence or absence of prefix information, with each group receiving tailored processing rules. This localized differentiation improves accuracy without requiring uniform complex processing of all messages
Data Source
AI summary
Disclosed herein is method for decoding image information, including obtaining image information including SEI processing order information indicating a processing order for a group of types of SEI messages, and determining processing order based on SEI processing order information, wherein SEI processing order information includes payload type information indicating a type of an SEI message, prefix present information indicating whether prefix information of SEI message is present or not, and processing order information indicating processing order for type of SEI message, and wherein, when a SEI message whose prefix information is not present and type is a first type is included in SEI processing order information, no other SEI message whose prefix information is present and type is first type is included in SEI processing order information or other SEI processing order information different from SEI processing order information in a current CLVS.