AMVPMerge Reference Picture List Reordering for Efficient Image Coding
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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 rates, necessitating a high-efficiency image compression technology.
Innovation Solution
An image encoding/decoding method utilizing an amvpMerge mode that reorders a reference picture list based on prediction modes, avoiding template matching-based reordering, and generates prediction samples accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If template matching-based reordering is applied to the reference picture list, then prediction accuracy is improved, but encoding complexity and processing time increase
Solution Approach 1:
The patent segments the prediction process by applying different reordering strategies to different prediction modes. Template matching-based reordering is applied only to merge mode, while amvp mode uses a different approach, thus avoiding unnecessary complexity in each mode while maintaining overall prediction accuracy.
Solution Approach 2:
The patent dynamically adjusts the reordering strategy based on the prediction mode being used. The system switches between template matching-based reordering and alternative reordering methods depending on whether merge mode or amvp mode is selected, optimizing the balance between accuracy and complexity for each specific case.
2Manufacturing precision
If high-resolution and high-quality image compression is implemented, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The patent changes the parameters of the encoding process by introducing amvp mode with specific reordering rules that reduce the bit rate required for high-quality image transmission. By optimizing the reference picture list reordering specifically for amvp mode, the system achieves better compression efficiency, reducing transmission and storage costs while maintaining high image quality.
3Productivity
If amvp mode is applied with optimized reference picture list reordering, then encoding efficiency is improved, but processing overhead increases
Solution Approach 1:
The patent performs preliminary reordering of the reference picture list specifically for amvp mode before the actual encoding process. By pre-organizing the reference pictures in the optimal order, the system reduces the processing overhead during real-time encoding, thus improving overall encoding efficiency without significant additional processing time.
Data Source
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AI summary
An image encoding/decoding method and device are provided. The image decoding method according to the present disclosure comprises the steps of: constructing a reference picture list for the current block; rearranging the reference picture list on the basis of whether a prediction mode of the current block is an amvpMerge mode, the amvpMerge mode being a prediction mode in which an advanced motion vector prediction (AMVP) mode is applied to a first prediction direction of the current block and a merge mode is applied to a second prediction direction; and generating a prediction sample of the current block on the basis of the reference picture list, wherein template matching-based rearrangement cannot be applied to the reference picture list on the basis that the prediction mode of the current block is the amvpMerge mode.