Entry Point Signaling for Tile-Based Video Coding Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, particularly in virtual reality and augmented reality, leads to higher data transmission and storage costs due to the increased amount of information required, necessitating a more efficient compression technique.
Innovation Solution
Implementing a method and apparatus that utilize Wavefront Parallel Processing (WPP) and tile technology, along with signaling entry point related information at a sequence parameter set level, to enhance image coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution and high quality image/video are transmitted or stored, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The image is divided into multiple tiles, and each tile is further divided into coding tree units (CTUs). This segmentation allows for parallel processing and more efficient compression by treating different regions independently, reducing the overall computational complexity and data transmission requirements while maintaining high image quality.
Solution Approach 2:
The patent introduces a hierarchical structure by dividing tiles into multiple CTU rows and columns, creating a two-dimensional grid system. This dimensional organization enables more flexible processing strategies and improves compression efficiency by allowing selective processing of different regions based on their importance and complexity.
2Quantity of substance
If compression techniques are applied to reduce data amount, then transmission and storage costs are reduced, but compression efficiency needs to be improved
Solution Approach 1:
By segmenting the image into tiles and further into CTUs, the patent enables parallel compression processing across multiple units. This segmentation allows compression algorithms to work on smaller, independent blocks simultaneously, significantly improving compression efficiency and reducing processing time while achieving higher compression ratios.
Solution Approach 2:
The patent performs preliminary division of the image into tiles and CTUs before the actual compression process. This preliminary structuring allows the compression algorithm to efficiently process pre-organized data blocks, improving overall compression efficiency by avoiding the need to process the entire image as a single large block.
3Productivity
If WPP and tile technology are implemented, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent divides the image into tiles and further segments each tile into CTU rows and columns, creating a hierarchical structure. This segmentation enables Wavefront Parallel Processing by organizing data into manageable units that can be processed in parallel waves, improving coding efficiency while keeping the complexity of each individual processing unit manageable.
Solution Approach 2:
By introducing the CTU row and column dimensions within each tile, the patent creates a multi-dimensional processing structure. This additional dimensional organization enables more efficient parallel processing strategies and improves coding efficiency by allowing flexible allocation of processing resources across different levels of the hierarchy.
Data Source
AI summary
According to the disclosures of the present document, entry point-related information/parameter can be signaled by means of upper-level syntax, thereby allowing the amount of data necessary to be signaled for video/image coding to be reduced and coding efficiency to be increased.