Video Signal Tile 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 partitioning methods for video signals.
Innovation Solution
The proposed method involves partitioning a picture into tiles or slices, with specific techniques including partitioning based on a tile index and difference information with previous slices, to enhance encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video compression rate is improved to handle high-definition video services, then data transmission efficiency is enhanced, but encoding and decoding complexity increases
Solution Approach 1:
The picture is divided into multiple tiles and slices, allowing independent processing of smaller regions. This segmentation enables parallel encoding and decoding operations, improving overall processing efficiency while maintaining high compression rates for high-definition video content.
Solution Approach 2:
The patent introduces a new dimension of organization by dividing the video picture into a grid of tiles arranged in tile rows and tile columns. This two-dimensional tiling structure adds spatial organization that facilitates efficient processing and reduces complexity compared to traditional single-picture processing.
2Productivity
If picture is divided into more tiles and slices for better processing efficiency, then encoding speed is improved, but data overhead for partitioning information increases
Solution Approach 1:
Multiple tiles are grouped into slices, and multiple slices are organized within picture parameter sets. This hierarchical merging reduces the number of independent processing units and minimizes the repetition of partitioning information, thereby reducing data overhead while maintaining processing efficiency.
Solution Approach 2:
The tile and slice partitioning structure serves multiple functions: it enables parallel processing, facilitates error resilience, and provides a framework for adaptive bitrate streaming. This multi-functionality reduces the need for additional separate mechanisms, minimizing overall data overhead.
3Ease of operation
If rectangular slice partitioning is applied for simplified processing, then decoding complexity is reduced, but flexibility in handling different picture sizes is limited
Solution Approach 1:
The number of tiles per row and column, as well as the arrangement of slices, can be dynamically adjusted based on picture dimensions and content characteristics. This dynamic configuration allows the system to maintain simple rectangular slice structures while adapting to various picture sizes, balancing decoding complexity with versatility.
Solution Approach 2:
The patent allows modification of partitioning parameters such as tile width, tile height, number of tile rows, and number of tile columns based on picture size and encoding requirements. These parameter changes enable rectangular slice partitioning to adapt to different picture formats while maintaining simplified decoding processes.
Data Source
AI summary
An image signal decoding method according to an embodiment of the present disclosure comprises the steps of: splitting a current picture into a plurality of tiles; decoding split information indicating a slice type, wherein the split information indicates whether a rectangular slice is to be applied; and when the split information indicates that the rectangular slice is to be applied, determining a slice on the basis of information indicating the size of a slice.