Downlink Picture Decoding Chain Using SEI Lists for Bit Reduction

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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 information or number of bits required, necessitating high-efficiency image compression technology.

Innovation Solution

The implementation of an image encoding and decoding method that includes acquiring and encoding supplemental enhancement information (SEI) messages for source pictures, along with improved encoding and decoding efficiency through techniques such as versatile video coding (VVC) and versatile supplemental enhancement information (VSEI) messages, which enhance the encoding and decoding processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If high-resolution and high-quality image data is transmitted, then image quality is improved, but transmission and storage costs increase

Engineering Contradiction:

Improveimage qualityVSAvoidamount of information or number of bits

Core Design Contradiction:

Manufacturing precisionVSQuantity of substance

Solution Approach 1:

The image data is divided into multiple blocks that are processed and transmitted separately. This segmentation allows for selective compression and optimization of different regions, reducing the total number of bits required while maintaining overall image quality.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent employs advanced compression parameters and encoding schemes that transform the representation of image data. By changing how image information is encoded and stored, the system achieves high-quality reproduction with reduced bit requirements, directly addressing the contradiction between quality and data volume.

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If advanced compression techniques are applied, then transmission costs are reduced, but encoding and decoding complexity increases

Engineering Contradiction:

Improvenumber of bitsVSAvoidencoding and decoding complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The encoding process performs preliminary transformations and optimizations on image data before transmission. By preparing and compressing data in advance at the source, the system reduces the bit count without proportionally increasing the complexity of receiving and processing operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent uses efficient data representation methods that create compact copies or representations of image information. These compressed representations maintain essential quality characteristics while requiring fewer bits, balancing compression effectiveness with processing complexity.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20260075251A1Method, user equipment and processing device, which receive downlink signal, storage medium, and method and base station for transmitting downlink signal

Publication Date: 2026.03.12 LG ELECTRONICS INC

AI summary

A method according to embodiments may include: acquiring a Supplemental Enhancement Information (SEI) message for pictures; acquiring a list for the SEI message; generating a processing chain for decoding of the pictures; acquiring a list for the pictures; and decoding the pictures. A method according to embodiments may include: deriving a Supplemental Enhancement Information (SEI) message for pictures; generating a list for the SEI message; generating a processing chain for decoding of the pictures; deriving a list for the pictures; and encoding the pictures.