Subpicture Video Decoding for Partial Region Display and Compression
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Solution Overview
Problem
The increasing size, resolution, and frame rate of video data necessitate improved compression techniques with better encoding efficiency and higher image quality, and there is a need for technologies that can display partial regions of decoded pictures, especially with the advent of applications like 360 video.
Innovation Solution
Partitioning each picture into independently displayable subpictures and encoding and decoding each subpicture, using techniques such as QuadTree, BinaryTree, and TernaryTree structures for block splitting, along with intra- and inter-prediction methods, and applying loop filters to reduce artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If video data is compressed using existing techniques (H.264/AVC, HEVC), then storage and transmission requirements are reduced, but encoding efficiency and image quality are insufficient for increasing video size, resolution, and frame rate
Solution Approach 1:
The video picture is divided into multiple subpictures, each of which can be independently decoded and displayed. This segmentation allows parallel processing of different regions, improving encoding efficiency while reducing overall storage and transmission requirements through targeted compression of each subpicture
2Loss of energy
If video data is compressed using existing techniques, then data volume is reduced, but image quality deteriorates
Solution Approach 1:
Different subpictures within the same picture can be encoded with different quality levels and compression parameters based on their importance and content characteristics. This allows critical regions to maintain high image quality while less important regions use higher compression, optimizing the overall quality-to-data-volume ratio
3Loss of information
If entire pictures are decoded and displayed, then complete video information is available, but storage and transmission resources are excessively consumed
Solution Approach 1:
Specific subpictures or regions of interest are extracted and decoded independently from the full picture, allowing receivers to obtain essential video information with significantly reduced data transmission requirements. This extraction approach maintains information completeness for critical content while minimizing resource consumption
Data Source
AI summary
For encoding and decoding images, an image encoding device divides each picture into sub-pictures that can be independently displayed, and signals layout information about the sub-pictures, and an image decoding device identifies each sub-block through the layout information and decodes the sub-pictures. A video decoding apparatus and method are configured to decode a bitstream containing an encoded sequence of pictures which are partitioned into a plurality of subpictures including a plurality of coding tree blocks.