Dependent Random Access Picture Decoding with GDR References

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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 rise in the amount of transmitted information or bits, necessitating high-efficient image compression technology.

Innovation Solution

An image encoding/decoding method and apparatus that utilizes a dependent random access point picture, specifically a gradual decoding refresh (GDR) picture with a zero recovery point, to enhance encoding/decoding efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-resolution and high-quality images are transmitted, then image quality is improved, but transmission cost and storage cost increase

Engineering Contradiction:
Improveimage qualityVSAvoidtransmitted information or bits
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The image data is segmented into multiple pictures with different types (IRAP, non-RAP, GDR pictures). This segmentation allows the system to transmit and store only essential reference information for each segment, reducing overall bit requirements while maintaining high image quality through selective reference picture usage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter of picture type classification by introducing GDR pictures with zero recovery point pictures. This parameter change enables more efficient compression by allowing the decoder to reconstruct high-quality images using fewer bits through intelligent reference picture selection and incremental refinement.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If random access to dependent random access point pictures is enabled, then encoding/decoding efficiency is improved, but system complexity increases

Engineering Contradiction:
Improveencoding/decoding efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent performs preliminary classification of pictures into different types (IRAP, non-RAP, GDR) during encoding. This preliminary action prepares the data structure in advance, allowing the decoder to efficiently perform random access by simply following the pre-organized reference picture relationships without complex real-time analysis.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces GDR pictures with zero recovery point pictures as intermediaries between full IRAP pictures and regular non-RAP pictures. These intermediary pictures provide partial reference information that simplifies the random access process, enabling efficient decoding with reduced complexity by avoiding the need to decode entire picture sequences.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20260075186A1Method and device for image encoding/decoding based on dependent random-access point picture, and method for bitstream transmission
Publication Date: 2026.03.12 LG ELECTRONICS INC
  • US20260075186A1 patent drawing
  • US20260075186A1 patent drawing
  • US20260075186A1 patent drawing

AI summary

A method and a device for image encoding/decoding are provided. An image decoding method according to the present disclosure may comprise the steps of: in response to a random-access request for a first picture, acquiring a second picture which is associated with the first picture and has been decoded before the first picture; and decoding the first picture by referring to the second picture, wherein the first picture is a dependent random-access point picture, and the second picture is gradual coding refresh (GDR) picture having a zero-recovery point picture.