OLS DPB Parameter Handling for Efficient 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 increased bit amounts, necessitating a more efficient image compression technique.
Innovation Solution
The method involves deriving Decoded Picture Buffer (DPB) parameters for an Output Layer Set (OLS) to adaptively update DPB and improve coding efficiency by signaling DPB parameters for OLS, which includes obtaining DPB parameter information, performing picture management, constructing a reference picture list, and performing inter prediction for a block in the current picture.
Engineering Contradictions & Design Principles
Engineering 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
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting DPB (Decoded Picture Buffer) parameters such as picture buffer size, reorder picture count, and latency values for different Output Layer Sets (OLS). This allows the coding system to adaptively optimize compression efficiency for high-resolution images, achieving better quality at reduced bit rates through parameter optimization rather than fixed conventional settings
Solution Approach 2:
The invention introduces dynamic adaptation by allowing DPB parameters to vary across different OLS instances. The system can dynamically select and switch between different DPB parameter sets based on content characteristics and transmission requirements, enabling flexible optimization that balances image quality and bit rate for high-resolution content
2Productivity
If DPB parameters are adaptively updated for OLS, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the DPB parameter management into distinct Output Layer Set (OLS) instances, where each OLS can have its own independent DPB parameter set. This segmentation allows complex parameter adaptation to be divided into manageable units, improving coding efficiency through targeted optimization while organizing the complexity into structured, separable components
Solution Approach 2:
The invention implements preliminary action by pre-defining and signaling DPB parameter sets for different OLS instances in advance. The encoder prepares multiple DPB parameter configurations beforehand, and the decoder selects from these pre-prepared sets, reducing real-time computational complexity while maintaining adaptive coding efficiency
Data Source
AI summary
An image decoding method performed by a decoding device according to the present document comprises the steps of: obtaining image information including an output layer set (OLS) decoded picture buffer (DPB) parameter index for a target OLS and DPB parameter information; deriving DPB parameter information for the target OLS on the basis of the OLS DPB parameter index; performing a picture management process on pictures of a DPB on the basis of the DPB parameter information for the target OLS; configuring a reference picture list for a current picture on the basis of the pictures of the DPB; and performing an inter prediction on a block in the current picture on the basis of the reference picture list.