Non-sequential Point Cloud Media Processing with Dynamic Viewing Regions

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Solution Overview

Problem

The existing technologies for processing non-sequential point cloud media face challenges in efficiently processing and presenting large amounts of point cloud data, particularly in determining and recommending optimal viewing regions for enhanced phasing processing efficiency.

Innovation Solution

A data processing method, apparatus, and device for non-sequential point cloud media that acquires property information of a viewing region, including indication information to determine if a recommended viewing region exists, and configures dynamic adaptive streaming over HTTP (DASH) signaling messages and property information boxes based on this information to efficiently present the point cloud media.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the entire point cloud media is transmitted and processed sequentially, then complete data is available for presentation, but processing time and latency increase significantly

Engineering Contradiction:
Improvephasing processing efficiencyVSAvoidprocessing time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The patent divides the point cloud media into multiple independent regions (viewing regions) that can be processed and transmitted separately. Each region is identified by property information including region identifiers and spatial boundaries, allowing parallel processing of different regions without requiring sequential handling of the entire dataset.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary identification and segmentation of viewing regions before full processing. Property information about recommended viewing regions is prepared in advance, enabling the system to prioritize and pre-process important regions, reducing overall processing time when the data needs to be presented.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If all point cloud data is transmitted to ensure completeness, then data integrity is maintained, but transmission bandwidth and processing overhead increase

Engineering Contradiction:
Improvedata completenessVSAvoidprocessing overhead
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies different processing qualities and levels of detail to different regions based on their importance. Recommended viewing regions receive higher priority and more detailed processing, while less important regions can be processed with lower fidelity or deferred, optimizing the balance between data completeness and processing overhead.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements partial processing where only necessary regions are fully processed and transmitted initially. The property information structure allows the system to process exactly the right amount of data needed for effective presentation without over-processing, reducing bandwidth and computational overhead while maintaining sufficient data integrity.

Inventive Principle:
Principle #16Partial or excessive action

3Ease of operation

If the system processes point cloud data in strict sequential order, then processing logic is simple, but adaptability to different viewing scenarios is limited

Engineering Contradiction:
Improveprocessing logic simplicityVSAvoidviewing region adaptability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent introduces dynamic region identification where viewing regions can be specified in multiple ways (by identifier, by spatial coordinates, by relative position). The property information structure supports flexible configuration of viewing regions based on different scenarios, allowing the system to adapt to various presentation needs while maintaining a consistent processing framework.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent creates a universal property information structure that can represent different types of viewing regions and processing priorities in a unified manner. This structure supports multiple viewing scenarios and data formats through a common interface, enhancing versatility without requiring separate processing logic for each scenario.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12284373B2Data processing method, apparatus, and device for non-sequential point cloud media
Publication Date: 2025.04.22 TENCENT TECHNOLOGY (SHENZHEN) CO LTD
  • US12284373B2 patent drawing
  • US12284373B2 patent drawing
  • US12284373B2 patent drawing

AI summary

A data processing method for non-sequential point cloud media includes: acquiring property information of a viewing region corresponding to non-sequential point cloud media; and presenting the non-sequential point cloud media based on the property information of the viewing region corresponding to the non-sequential point cloud media. By introducing first indication information into the property information of the viewing region corresponding to the non-sequential point cloud media, when indicating that a recommended viewing region exists for the non-sequential point cloud media, the presentation of the corresponding non-sequential point cloud media according to property information of the recommended viewing region in the property information of the viewing region can be supported on the basis of an encapsulation structure of the non-sequential point cloud media.