Composite Picture Information SEI Message Encoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images, such as HD and UHD images, leads to a significant increase in the amount of transmitted and stored information, resulting in higher transmission and storage costs. There is a need for high-efficient image compression technology to address this challenge.
Innovation Solution
An image encoding/decoding method and apparatus that utilizes a single Composite Picture Information (CPI) Supplemental Enhancement Information (SEI) message to encode and decode images. This method derives information for a composite picture from source pictures, generates a bitstream by encoding the CPI SEI message, and supports features like gap and overlap between patches, allowing for efficient encoding and decoding of high-resolution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image data is transmitted and stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The image is divided into multiple patches, and only selected patches are transmitted or stored in the composite picture. This segmentation approach reduces the total amount of data while maintaining visual quality by focusing on important regions of interest.
Solution Approach 2:
Different quality levels are applied to different regions of the image. Important patches are maintained at high quality, while less important areas may be omitted or reduced in quality, achieving overall good visual perception with reduced data volume.
2Loss of information
If multiple SEI messages are used to convey composite picture information, then information completeness is improved, but device complexity increases
Solution Approach 1:
Multiple SEI messages containing composite picture information are merged into a single SEI message. This consolidation reduces the number of messages that need to be processed and transmitted, simplifying the system while preserving all necessary information for composite picture reconstruction.
Solution Approach 2:
The single SEI message is designed to carry multiple types of composite picture information simultaneously, making it a universal message structure that can convey various patch-related data in one transmission, reducing overhead and processing complexity.
3Device complexity
If a single CPI SEI message is used to encode composite picture information, then device complexity is reduced, but information completeness may be compromised
Solution Approach 1:
The single CPI SEI message integrates multiple types of composite picture information including patch selection, positioning, and dimension data into one unified message structure, ensuring complete information transmission while reducing message count.
Solution Approach 2:
The SEI message structure is extended to include multiple dimensions of information (patch indices, position coordinates, dimension data) in a hierarchical organization, allowing comprehensive information storage in a single message without increasing complexity.
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. The image encoding method comprises deriving information for a composite picture generated from one or more source pictures and generating a bitstream by encoding a single composite picture information (CPI) supplemental enhancement information (SEI) message including the information for the composite picture. The composite picture may comprise one or more patches obtained from the source pictures, the information for the composite picture may comprise first information for a source area corresponding to each of the patches in the source pictures and second information for a patch area covered by each of the patches in the composite picture, and each layer including the source pictures may be an output layer.