Image Slice Partitioning for Lower Bitstream Signaling Overhead
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to higher data volumes, increasing transmission and storage costs, necessitating improved image encoding/decoding techniques for efficient data management.
Innovation Solution
An image encoding/decoding method and apparatus that partitions pictures into tiles and signals partition information efficiently, using slice mode information and slice identification to enhance encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution and quality images are used, then image quality is improved, but data volume and transmission/storage costs increase
Solution Approach 1:
The image is divided into multiple tiles, and each tile is further divided into sub-tiles. This segmentation allows independent encoding and processing of smaller regions, improving compression efficiency and reducing overall data volume while maintaining high image quality through localized optimization.
Solution Approach 2:
Different encoding parameters and prediction modes are applied to different sub-tiles based on local characteristics. This allows optimal compression for each region while preserving important visual quality, achieving high overall image quality with reduced data volume through localized adaptation.
2Productivity
If picture partitioning is performed, then encoding efficiency is improved, but signaling complexity increases
Solution Approach 1:
Multiple sub-tiles are grouped into tiles, and multiple tiles are organized into picture groups. This merging strategy reduces the number of independent signaling units compared to treating each sub-tile separately, thereby improving encoding efficiency while controlling signaling complexity through hierarchical organization.
Solution Approach 2:
The partitioning structure serves multiple functions: it enables parallel processing for improved encoding efficiency, provides a basis for adaptive compression, and establishes a hierarchical framework that reduces signaling overhead. This multi-functionality justifies the partitioning approach despite increased structural complexity.
Data Source
AI summary
An image encoding/decoding method is disclosed. An image decoding method of the present invention may comprise deriving slice mode information on a slice included in a current picture, deriving slice identification information on the basis of the slice mode information, and decoding the slice on the basis of the slice identification information.