Sub-picture Parameter Segmentation for Video Compression Efficiency
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Solution Overview
Problem
Existing image encoding/decoding techniques struggle with high compression efficiency, especially for high-resolution and high-quality images, leading to increased transmission and storage costs.
Innovation Solution
The proposed method involves obtaining and decoding sub-picture information at various signaling levels, including sequence parameter sets (SPS), picture parameter sets (PPS), and slice headers, to efficiently encode and decode images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution and quality image data is transmitted or stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The image is divided into multiple sub-pictures, each with its own parameter set. This segmentation allows for selective encoding and transmission of only necessary parameters for each sub-picture, reducing overall data transmission and storage requirements while maintaining high image quality.
Solution Approach 2:
Different parameter sets (SPS, PPS, slice headers) are applied to different sub-pictures based on their specific characteristics. This allows optimization of encoding parameters for each region, achieving high quality where needed while minimizing data where possible, thus reducing transmission and storage costs.
2Productivity
If sub-picture information is obtained for each decoded sub-picture at multiple signaling levels, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The picture is segmented into multiple sub-pictures, each with independent parameter sets. This allows the decoder to process and decompress each sub-picture separately using its optimized parameters, improving overall compression efficiency while managing complexity through modular processing.
Solution Approach 2:
Parameter sets (SPS, PPS, slice headers) are prepared and organized in advance at different signaling levels before actual decoding. This preliminary organization of sub-picture information allows the decoder to efficiently access and apply the correct parameters without increasing real-time processing complexity.
Data Source
AI summary
The present invention relates to a video decoding method, the video decoding method according to an embodiment of the present invention comprises, obtaining sub-picture information of a current sub-picture through at least one signaling level and decoding the current sub-picture using the sub-picture information, wherein the sub-picture information is obtained for each decoded sub-picture.


