Video Signal Tile and Slice Partitioning for Encoding Efficiency
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Solution Overview
Problem
Existing video compression technologies, such as HEVC, are facing limitations in efficiently encoding and decoding high-definition video signals due to increased data amounts, necessitating improved methods for partitioning video signals into tiles or slices.
Innovation Solution
A method for partitioning a picture into tiles or slices based on a tile index or difference information with previous slices, allowing for efficient encoding and decoding by determining the number of slices and defining them using tiles, with specific parsing rules for different slice configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video compression standards like HEVC are used to handle high-definition video signals, then compression performance is improved, but data amount increases greatly making the standard show 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 slices while maintaining compression efficiency, resolving the contradiction between handling large data amounts and maintaining compression performance.
2Productivity
If a picture is partitioned into multiple tiles and slices, then encoding and decoding efficiency is improved, but the complexity of partitioning logic increases
Solution Approach 1:
The partitioning structure of tiles and slices is predetermined and established before encoding/decoding operations. This preliminary organization allows efficient parallel processing without requiring complex runtime decision logic, thus improving encoding efficiency while controlling complexity.
Solution Approach 2:
The slice partitioning within tiles can be dynamically adjusted based on picture characteristics. The number of slices per tile and their dimensions can vary adaptively, allowing the system to optimize for different content types while maintaining a manageable partitioning framework.
3Measurement precision
If difference information is encoded for slice partitioning, then precision of slice definition is improved, but the amount of additional information to be encoded increases
Solution Approach 1:
Instead of encoding absolute slice position information, the system encodes difference information (offsets) relative to reference points. This parameter transformation reduces the amount of information needed while maintaining precise slice definition, as differences are typically smaller values that require fewer bits to represent.
Data Source
AI summary
An image signal decoding method according to an embodiment of the present disclosure comprises the steps of: partitioning the current picture into a plurality of tiles; decoding partition information indicating a slice type, the partition information indicating whether a rectangular slice is to be applied; determining the number of slices in the current picture; and defining the slices using the tiles.


