AMVP-Merge Mode Image Decoding with Fallback Candidate List
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution and high-quality images, such as HD and UHD images, leads to a significant increase in the amount of transmitted and stored information, resulting in higher transmission and storage costs. There is a need for high-efficient image compression technology to address this challenge.
Innovation Solution
An image encoding/decoding method and apparatus that improves encoding/decoding efficiency by performing AMVPMerge mode, constructing a fallback merge candidate list, and generating prediction blocks based on AMVP and merge candidate lists. The method determines prediction modes for current blocks, constructs candidate lists, and includes a fallback candidate in the merge candidate list under specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality image data is transmitted and stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies parameter changes by modifying the prediction mode selection process and introducing a fallback mechanism that dynamically adjusts the number of merge candidates based on available reference pictures. This optimization reduces the bitstream size while maintaining prediction accuracy, thereby compressing image data without sacrificing quality.
2Measurement precision
If the number of merge candidates is increased, then prediction accuracy is improved, but the complexity of constructing candidate lists increases
Solution Approach 1:
The patent implements dynamics by making the merge candidate list construction adaptive rather than static. The number of merge candidates is dynamically adjusted based on the number of available reference pictures, allowing the system to optimize between prediction accuracy and construction complexity depending on the specific encoding context.
Solution Approach 2:
The patent changes the parameter of merge candidate count based on reference picture availability. When reference pictures are limited, fewer merge candidates are constructed, reducing complexity. When reference pictures are abundant, more candidates are available, improving prediction accuracy without excessive complexity.
3Reliability
If more reference pictures are used in merge candidate list, then prediction reliability is improved, but the amount of data to be processed increases
Solution Approach 1:
The patent applies partial action by selectively using only the necessary number of reference pictures based on availability rather than always using all possible reference pictures. This approach achieves sufficient prediction reliability with the minimal required data processing, avoiding unnecessary computational overhead.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An image encoding/decoding method and apparatus are provided. An image decoding method may comprise determining prediction modes respectively applied to prediction directions of a current block, the prediction mode comprising an AMVP mode and a merge mode, constructing an AMVP candidate list and a merge candidate list based on the prediction modes, and generating a prediction block of the current block based on the AMVP candidate list and the merge candidate list. The merge candidate list includes a fallback candidate.