Reference Image Encoding Local Update Mechanism
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently encoding and decoding reference images, leading to increased computational complexity and bit rate, which results in transmission delays and reduced compression efficiency.
Innovation Solution
A method for updating background reference images using local information from subsequent reference images, where a local area in the second reference image is used to update corresponding areas in the first reference image, reducing the need for additional indication information and bit rate transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multi-reference image code technology is introduced to improve encoding performance, then compression efficiency is improved, but computational complexity and bit rate increase
Solution Approach 1:
The patent divides the reference image update process into segments: only local areas that have changed are updated using information from subsequent reference images, rather than updating entire reference images. This segmentation reduces computational complexity while maintaining compression efficiency improvements.
Solution Approach 2:
The patent applies local quality by updating only specific local areas of reference images where changes occur, rather than uniformly processing entire images. This selective local updating reduces bit rate and computational complexity while preserving the compression benefits of multi-reference image technology.
2Measurement precision
If additional indication information is transmitted to enable reference image updates, then decoding accuracy is improved, but bit rate increases causing transmission delays
Solution Approach 1:
The patent extracts only the necessary local information from subsequent reference images that is needed for updating, rather than transmitting complete reference images or extensive indication information. This extraction approach maintains decoding accuracy while reducing bit rate and transmission delays.
Solution Approach 2:
The patent applies partial action by transmitting only the minimal necessary information for reference image updates - specifically, local area information from subsequent reference images - rather than transmitting complete update data. This partial transmission suffices for accurate decoding while avoiding transmission delays.
3Productivity
If background reference images are updated using information from subsequent reference images, then coding compression efficiency is improved, but decoder complexity increases
Solution Approach 1:
The patent applies preliminary action by preparing and storing local information from subsequent reference images in advance, so that when decoding occurs, the reference images can be efficiently updated without complex real-time processing. This preliminary preparation improves compression efficiency while keeping decoder complexity manageable.
Solution Approach 2:
The patent uses copying by creating local copies of relevant information from subsequent reference images to update background reference images. This copying approach enables efficient compression without requiring the decoder to perform complex original image processing, thus improving compression efficiency while limiting complexity increases.
Data Source
AI summary
The present disclosure provides a reference image encoding method, including: encoding sequence, to obtain a reconstructed image of a first and second reference images; determining whether a local area in the second reference image is suitable for updating first reference image; determining whether the first reference image is updated; when the first reference image is not updated, and it is determined the second reference image is suitable for updating the first reference image, replacing a pixel value of a corresponding area or a related area in the first reference image with a pixel value of the local area in the second reference image; and compiling, into the bitstream.