Decoded Picture Buffer Management for Adaptive OLS Image Decoding

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Solution Overview

Problem

The increasing demand for high-resolution and high-quality images leads to higher transmission and storage costs due to the increased amount of information, necessitating a more efficient image compression technique.

Innovation Solution

An image decoding method that derives and updates DPB parameters adaptively for output layer sets (OLSs) using OLS DPB parameter indices, performing picture management processes to improve coding efficiency by signaling DPB parameters for OLS, thereby updating the DPB accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If high-resolution and high-quality images are transmitted or stored using conventional methods, then image quality is improved, but transmission cost and storage cost increase

Engineering Contradiction:

Improveimage qualityVSAvoidtransmission cost and storage cost

Core Design Contradiction:

Manufacturing precisionVSQuantity of substance

Solution Approach 1:

The patent applies parameter changes by introducing adaptive DPB parameter updates for different OLS configurations. By dynamically adjusting DPB parameters (such as dpb_size_only_flag, dpb_max_temporal_id) based on OLS-specific requirements, the system optimizes compression efficiency for high-resolution images without requiring proportional increases in transmission or storage resources

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements dynamics through the picture management process that adaptively updates DPB parameters based on OLS DPB parameter indices. The system transitions from static DPB configuration to dynamic adaptation, where the decoded picture buffer is reconfigured according to the specific needs of different output layer sets, enabling efficient handling of multiple resolutions and qualities

Inventive Principle:

Principle #15Dynamics

2Productivity

If DPB parameters are updated adaptively for OLSs, then coding efficiency is improved, but system complexity increases

Engineering Contradiction:

Improvecoding efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-defining DPB parameter configurations for different OLS scenarios. The encoder and decoder both maintain knowledge of possible DPB parameter sets, and the actual configuration is selected based on pre-agreed rules and OLS DPB parameter indices, avoiding the need for complex real-time optimization algorithms

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary mechanism through the use of OLS DPB parameter indices that act as references to pre-defined DPB configurations. Instead of directly managing complex DPB parameter updates, the system uses these indices as intermediaries to select appropriate configurations, simplifying the control logic while maintaining adaptability

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12501047B2Image decoding method comprising DPB management process and apparatus therefor

Publication Date: 2025.12.16 LG ELECTRONICS INC

AI summary

An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: acquiring image information including decoded picture buffer (DPB) parameter information for output layer sets (OLSs) and an OLS DPB parameter index for a target OLS; and deriving DPB parameter information for the target OLS from among the DPB parameter information for the OLSs on the basis of the OLS DPB parameter index.