Tile and Slice Partitioning for Efficient Image Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-definition video services has led to a significant increase in data volume, and existing video compression standards like HEVC are showing limitations in efficiency.
Innovation Solution
A method of partitioning video signals into tiles, determining slice partitioning structures based on tile partitioning, and partitioning pictures into sub-pictures to enhance encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video compression standards like HEVC are used, then compression performance is improved, but encoding/decoding efficiency shows limitations
Solution Approach 1:
The picture is divided into multiple tiles, and each tile is further divided into multiple slices. This hierarchical segmentation allows parallel processing of different tiles and slices, significantly improving encoding/decoding efficiency while maintaining effective compression. The segmentation enables independent processing units that can be handled concurrently, resolving the efficiency limitation of traditional HEVC standards.
2Productivity
If a picture is partitioned into multiple tiles with multiple slices, then encoding/decoding efficiency is improved, but the complexity of partitioning structure increases
Solution Approach 1:
The picture is systematically divided into tiles, with each tile containing multiple slices. This structured segmentation provides a clear hierarchical organization that balances processing efficiency with manageable complexity. Each slice within a tile can be independently processed, allowing efficiency improvements while maintaining a systematic structure.
Solution Approach 2:
The partitioning structure introduces a two-dimensional hierarchy: pictures are divided into tiles (first dimension), and each tile is divided into slices (second dimension). This dimensional approach organizes the complexity in a structured manner, allowing efficient parallel processing while keeping the partitioning logic systematic and manageable through clear spatial organization.
Data Source
AI summary
An image decoding method, according to the present disclosure, comprises the steps of: parsing tile column number information indicating a value wherein 1 is subtracted from the number of tile columns included in the i-th slice; parsing tile row number information indicating a value wherein 1 is subtracted from the number of tile rows included in the i-th slice; and, if the tile column number information and the tile row number information are both 0, further parsing number information related to the number of slices in which height information in a tile including the i-th slice is clearly signaled.


