Picture Sub-Unit Partitioning for Efficient Video Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing size, resolution, and frame rate of video data are leading to a surge in data volume, necessitating more hardware resources for storage and transmission, and existing compression techniques like H.264/AVC and HEVC require improved encoding efficiency and image quality.
Innovation Solution
A method and apparatus that partition a picture into sub-units, including decoding CTU size information, sub-picture partition information, and partition information for tiles and slices, while preventing syntax element overlap and allowing controlled in-loop filtering between sub-units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video data is compressed using existing techniques (H.264/AVC, HEVC), then encoding efficiency and image quality are improved, but the increasing video size, resolution, and frame rate require even better compression techniques
Solution Approach 1:
The picture is divided into multiple sub-units (tiles, slices, sub-pictures) with independent partitioning and filtering capabilities. This segmentation allows parallel processing and reduces the complexity of handling large video data, enabling more efficient encoding while maintaining quality.
Solution Approach 2:
The patent introduces dynamic partitioning where the picture can be divided into different types of sub-units (tiles, slices, sub-pictures) with flexible boundaries. The partitioning structure can be adapted based on content characteristics, allowing optimization of encoding efficiency for varying video conditions.
2Productivity
If picture partitioning into multiple sub-units is implemented, then encoding and decoding efficiency is improved, but syntax element overlap may occur between partitions
Solution Approach 1:
The syntax elements are segmented and assigned to specific partitions (tiles, slices, sub-pictures) to avoid overlap. Each partition has dedicated syntax elements for its specific parameters, eliminating ambiguity and simplifying the decoding process.
Solution Approach 2:
The patent introduces a hierarchical structure where partition information serves as an intermediary between the picture and individual sub-units. This intermediary layer organizes syntax elements systematically, preventing overlap and simplifying the management of partition parameters.
3Manufacturing precision
If in-loop filtering is applied between sub-unit boundaries, then image quality is improved, but the complexity of filtering decision-making increases
Solution Approach 1:
The patent applies different filtering strategies to different sub-units and boundaries based on local characteristics. The filtering decision is made independently for each sub-unit boundary, allowing optimization of image quality while simplifying the overall decision-making process through localized control.
Data Source
AI summary
Disclosed is a method for obtaining information on sub-units partitioned from a picture. The method comprises: decoding, from a bitstream, CTU size information indicating the size of coding tree units (CTUs) within the picture; decoding, from the bitstream, sub-picture partition information expressing sub-pictures within the picture in units of the CTU sizes; decoding, from the bitstream, partition information related to partition of the picture into one or more tiles; and decoding, from the bitstream, partition information related to partition of the picture into one or more slices.