Volumetric Video Projection Geometry Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current volumetric video coding systems face inefficiencies in spatial and temporal coding performance, particularly when dealing with dynamic 3D scenes where geometry and attributes change, leading to inefficient compression and increased data requirements.
Innovation Solution
The method involves projecting volumetric video data onto simple geometric surfaces such as spheres, cylinders, or planes, unfolding these projections onto 2D planes, and applying standard 2D video coding techniques, while transmitting relevant projection geometry information to enable efficient encoding and decoding of texture and geometry data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If volumetric video data is projected onto simple geometric surfaces and coded using standard 2D video coding, then coding efficiency is improved, but spatial and temporal coding performance deteriorates
Solution Approach 1:
The patent divides the volumetric video data into multiple projections onto different geometric surfaces (sphere, cylinder, plane), allowing each projection to be coded independently using standard 2D video coding techniques. This segmentation enables efficient coding while preserving spatial relationships through the collection of multiple projection views.
Solution Approach 2:
The patent transforms 3D volumetric video data into 2D projections by mapping onto geometric surfaces, then unfolds these surfaces onto 2D planes for standard video coding. This dimensional transformation enables the use ofๆ็ 2D coding tools while maintaining 3D spatial information through the projection geometry.
2Quantity of substance
If compression parameters are adapted for projection data based on examined properties, then compression ratio is improved, but processing complexity increases
Solution Approach 1:
The patent dynamically adapts compression parameters for projection data based on examined properties such as motion activity, texture complexity, and geometric characteristics. This dynamic adaptation allows the system to optimize compression for different types of projection data while maintaining manageable processing complexity through rule-based parameter selection.
Solution Approach 2:
The patent changes compression parameters (such as quantization level, block size, prediction mode) based on examined properties of the projection data. By adjusting these parameters according to data characteristics, the system achieves better compression ratios for complex regions while using simpler coding for uniform regions, balancing compression efficiency and processing complexity.
Data Source
AI summary
There are disclosed various methods, apparatuses and computer program products for volumetric video encoding and decoding. In some embodiments, projection data generated from a projection geometry of an object in a texture picture of volumetric video data is obtained. One or more property of the projection data is examined to determine whether at least one predetermined condition is fulfilled and if the examining reveals that at least one predetermined condition is fulfilled, at least one compression parameter for the projection data is adapted. The projection data is compressed by using the at least one compression parameter.