3D Point Cloud Transmission via Spatial Quality Segmentation

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Solution Overview

Problem

Current methods for transmitting three-dimensional point cloud data are inefficient as they transmit all space regions with the same quality, leading to either low perceived quality with low-quality point clouds or excessive data volume with high-quality point clouds, without effective encapsulation and transmission strategies.

Innovation Solution

A method and apparatus for determining and encoding the quality level of each space region in a three-dimensional point cloud, allowing for selective transmission of point cloud data based on quality levels, and including quality indication information in the media code stream to optimize data transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-quality point cloud data is transmitted for all space regions, then the perceived quality is improved, but the data volume becomes excessively large

Engineering Contradiction:
Improveperceived qualityVSAvoiddata volume
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent applies local quality by dividing the three-dimensional space into multiple regions and assigning different quality levels to different regions. Important regions (e.g., regions containing main objects or areas of user interest) are transmitted with high quality, while less important regions are transmitted with lower quality. This resolves the contradiction by ensuring high perceived quality where needed while reducing overall data volume through selective quality degradation in non-critical areas.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments the three-dimensional point cloud space into multiple discrete regions based on spatial coordinates and importance criteria. Each region is independently processed and transmitted with appropriate quality settings. This segmentation allows the system to manage data volume by treating different spatial regions separately, applying high quality only to necessary segments while using lower quality for others.

Inventive Principle:
Principle #1Segmentation

2Quantity of substance

If low-quality point cloud data is transmitted for all space regions, then the data volume is reduced, but the overall perceived quality is degraded

Engineering Contradiction:
Improvedata volumeVSAvoidperceived quality
Core Design Contradiction:
Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent ensures that critical regions maintain high quality even when overall data volume is constrained. By identifying and prioritizing important spatial regions (such as regions containing primary objects or areas within user field of view), the system allocates sufficient data quality to these areas while accepting lower quality in non-critical regions, thus maintaining acceptable perceived quality overall while reducing total data volume.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent dynamically adjusts quality parameters (such as point density, attribute precision) based on spatial region importance and transmission conditions. For important regions, higher quality parameters are maintained, while for less important regions, parameters are reduced to optimize data volume. This selective parameter adjustment resolves the contradiction between data volume reduction and perceived quality maintenance.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If uniform quality is applied to all space regions, then the transmission process is simple, but the transmission efficiency is reduced due to unnecessary data transmission

Engineering Contradiction:
Improvetransmission process complexityVSAvoidtransmission efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent implements local quality differentiation by assigning distinct quality levels to different spatial regions based on their importance. This approach increases transmission efficiency by avoiding the transmission of excessive data for non-critical regions while maintaining simple processing through standardized quality assignment rules for each region type. The system achieves better efficiency without requiring complex per-point quality decisions.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments space into predefined regions with assigned quality characteristics, allowing efficient batch processing of each region. This segmentation approach improves transmission efficiency by enabling parallel processing and optimized data rates for different regions, while keeping the overall process manageable through systematic region classification and quality assignment.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240221305A1Three-dimensional point cloud transmission method and apparatus, three-dimensional point cloud receiving method and apparatus, and storage medium
Publication Date: 2024.07.04 SHANGHAI JIAOTONG UNIV
  • US20240221305A1 patent drawing
  • US20240221305A1 patent drawing
  • US20240221305A1 patent drawing

AI summary

Provided are a three-dimensional point cloud transmission method and apparatus, a three-dimensional point cloud receiving method and apparatus, and a medium. The transmission method includes the following steps. The point cloud data of an original point cloud is parsed. The quality level of the space region of a to-be-transmitted point cloud is determined. The point cloud data in the space region of the to-be-transmitted point cloud is selected according to the quality level of the space region of the to-be-transmitted point cloud to generate a media code stream. The quality indication information of the space region of the to-be-transmitted point cloud is determined according to the selected point cloud data in the space region of the to-be-transmitted point cloud. The quality indication information of the space region of the to-be-transmitted point cloud is written into the media code stream. The media code stream is transmitted.