Subpicture Reference Marking for Efficient Image Decoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the rise in the amount of transmitted information, necessitating high-efficient image compression technologies.
Innovation Solution
An image encoding/decoding method that performs a reference picture marking process at a subpicture level, identifying reference subpictures as short-term, long-term, or unused for reference, and encoding/decoding information on reference picture sets at this level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If reference picture marking process is performed at picture level, then device complexity is reduced, but encoding/decoding efficiency is insufficient
Solution Approach 1:
The patent divides the picture into multiple subpictures and performs reference picture marking process at subpicture level instead of picture level. This segmentation allows independent processing of reference pictures for different subpictures, improving encoding/decoding efficiency by better reflecting content characteristics while maintaining manageable complexity through modular processing.
Solution Approach 2:
The patent applies different reference picture marking operations to different subpictures based on their local content characteristics. Each subpicture can have its own reference picture set and marking state, allowing localized optimization of compression efficiency without requiring uniform complex processing across the entire picture.
2Productivity
If reference picture set is optimized at subpicture level, then encoding efficiency is improved, but transmission overhead increases
Solution Approach 1:
The patent performs reference picture marking process before inter prediction and decoding operations. By pre-marking reference pictures at subpicture level, the system prepares optimized reference sets in advance, allowing efficient compression without requiring additional overhead during actual encoding/decoding operations.
Solution Approach 2:
The reference picture marking process uses existing picture structure information (subpicture boundaries, content characteristics) to automatically determine optimal reference sets. The system serves itself by leveraging available data rather than requiring additional signaling overhead to communicate reference picture selections.
Data Source
AI summary
An image encoding/decoding method, a method of transmitting a bitstream and a computer-readable recording medium storing a bitstream are provided. An image decoding method performed by an image decoding apparatus may comprise receiving information on a reference picture set of a current subpicture for inter prediction, deriving a reference subpicture of the current subpicture based on the information on the reference picture set, and performing a reference marking process on the reference subpicture.