Inter-Prediction Candidate List Updates for Image Compression
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Solution Overview
Problem
The increasing resolution and quality of high-definition and ultra-high-definition images result in higher data volumes, leading to increased costs for transmission and storage, necessitating improved image compression techniques.
Innovation Solution
The method involves deriving a candidate list for inter-prediction of a current block, using a cumulative coding information candidate list to enhance compression efficiency by updating the candidate list based on motion information of previously encoded blocks, and inserting candidates into specific positions within the list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are increased, then image quality is improved, but data volume increases leading to higher transmission and storage costs
Solution Approach 1:
The patent extracts and utilizes motion information from previously encoded blocks to generate candidate lists for inter-prediction. By extracting motion vectors and utilizing them to predict current blocks, the system reduces the amount of data that needs to be transmitted and stored, thereby reducing data volume while maintaining image quality.
Solution Approach 2:
The patent implements feedback mechanisms where motion information from previously encoded blocks is fed back into the encoding process to generate candidate lists. This feedback loop allows the system to continuously improve prediction accuracy and optimize compression efficiency, reducing data volume without sacrificing quality.
2Quantity of substance
If conventional image compression techniques are used, then transmission and storage costs are reduced, but compression efficiency is insufficient for high-resolution images
Solution Approach 1:
The patent performs preliminary actions by encoding motion information of previously processed blocks and storing it in a coding information buffer. This preliminary encoding and storage of motion data enables more efficient compression of subsequent blocks through inter-prediction, improving overall compression efficiency for high-resolution images.
Solution Approach 2:
The patent dynamically updates candidate lists based on motion information from previously encoded blocks. The system adapts the prediction candidates according to the actual motion patterns in the image data, optimizing compression efficiency for each specific image sequence rather than using a fixed compression method.
3Productivity
If candidate lists are updated using cumulative coding information, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the coding information buffer into different regions: a first region for storing motion information of previously encoded blocks and a second region for storing candidate lists. This segmentation allows the system to manage complex data structures in an organized manner, improving compression efficiency while keeping the complexity management tractable through clear data separation.
Data Source
AI summary
An image decoding method is disclosed in the present specification. An image decoding method according to the present invention may comprise deriving a candidate list for inter-prediction of a current block, deriving motion information of the current block by using the candidate list, deriving a cumulative coding information candidate by using the motion information of the current block, inserting the derived cumulative coding information candidate into a cumulative coding information candidate list and updating the candidate list by using the cumulative coding information candidate list, wherein the updated candidate list is used for inter-prediction of a block to be decoded after the current block.