Video Decoder Reference Picture Selection for Decoding Complexity
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Solution Overview
Problem
Current video coding technologies face challenges in accurately predicting motion information of picture blocks, leading to suboptimal coding performance due to inefficiencies in referencing library pictures during decoding.
Innovation Solution
A method and apparatus for improving motion information prediction by determining candidate reference pictures based on the minimum decoding time interval between library pictures, allowing for efficient decoding and encoding by selecting appropriate library pictures that maximize content similarity or encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If library pictures are referenced during decoding, then coding performance can be improved, but decoding complexity and peak decoding demands increase
Solution Approach 1:
The patent pre-determines the quantity of candidate reference pictures to be used during decoding based on the minimum decoding time interval k. By establishing this quantity in advance (rather than dynamically selecting during decoding), the system prepares the decoding process ahead of time, reducing peak decoding complexity while maintaining coding performance benefits from reference picture usage.
2Measurement precision
If more library pictures are used as reference pictures, then motion prediction accuracy improves, but decoding time and processing load increase
Solution Approach 1:
The patent changes the parameter of reference picture quantity from a dynamic or fixed large number to a specifically determined quantity based on the minimum decoding time interval k. This parameter adjustment optimizes the balance between motion prediction accuracy (benefiting from more references) and decoding time (increasing with more references), achieving the best compromise for the given decoding constraints.
3Reliability
If library pictures with small time intervals are referenced, then content similarity and prediction accuracy improve, but decoding resource requirements increase
Solution Approach 1:
The system pre-determines the appropriate quantity of candidate reference pictures based on the minimum decoding time interval k before the actual decoding process. This preliminary determination allows the system to select an optimal number of reference pictures that balances prediction accuracy (from using recent, similar content) against decoding resource requirements, avoiding the need to process excessive reference pictures during peak decoding moments.
Data Source
AI summary
A decoding method includes obtaining an identifier from a bitstream, where the identifier indicates a minimum decoding time interval k between library pictures that is allowed in the bitstream, obtaining, when parsing the bitstream, a decoding moment ti of a current decoded picture and a decoding moment tj of a first decoded picture that is closest to the current decoded picture and that references a new library picture when the current decoded picture is decoded by referencing a library picture, where the new library picture is a library picture that is not decoded or needs to be re-decoded when the first decoded picture is decoded, and determining a preset quantity of library pictures as candidate reference pictures of the current decoded picture based on a relationship between k and a difference between ti and tj.