Point Cloud Attribute Encapsulation for Partial Access and Decoding
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Solution Overview
Problem
Existing point cloud media systems cannot partially access and correctly decode attribute information in a point cloud bitstream, limiting personalized presentation.
Innovation Solution
A method and apparatus for encapsulating and decapsulating point cloud files that indicate dependency relationships between attribute data using dependency indication information, allowing partial access, correct decoding, and personalized presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sub-samples or multi-track encapsulation modes are used to access point cloud bitstream, then partial access capability is improved, but attribute information access capability deteriorates
Solution Approach 1:
The point cloud attribute data is segmented into multiple attribute groups based on encoding dependency relationships. Each attribute group contains attribute data with the same dependency relationship, allowing independent decoding and partial access to specific attribute information without requiring the entire bitstream to be decoded.
Solution Approach 2:
The patent introduces a new dimension of organization by grouping attribute data according to encoding dependency relationships, rather than traditional spatial or temporal dimensions. This creates an additional access dimension that enables selective decoding of attribute groups based on specific needs.
2Reliability
If all attribute data is decoded to ensure correct decoding, then decoding accuracy is improved, but decoding efficiency deteriorates
Solution Approach 1:
Instead of decoding all attribute data, the system performs partial decoding by selecting only the necessary attribute groups based on decoding requirements. The dependency indication information enables the decoder to identify which attribute groups can be independently decoded, allowing the system to decode only the minimum necessary data to satisfy the application requirements.
3Ease of operation
If dependency indication information is added to indicate relationships between attribute data, then partial access capability is improved, but data structure complexity deteriorates
Solution Approach 1:
The patent introduces dependency indication information as an intermediary element that mediates between the attribute data and the decoder. This intermediary provides the necessary relationship information without requiring complex restructuring of the underlying attribute data, thereby enabling partial access while maintaining relative simplicity in the data structure.
Data Source
AI summary
This application provides a method for decapsulating a point cloud file performed by an electronic device. The method includes: determining target first attribute data from a point cloud file, the point cloud file being generated by encapsulating a point cloud bitstream; determining dependency indication information of the first attribute data, the dependency indication information indicating whether a first relationship exists between the first attribute data and second attribute data in the point cloud file; and decoding the first attribute data based on the dependency indication information. To be specific, according to this application, encoding and decoding dependency relationships or the presentation association relationship between different point cloud attribute data is indicated with the dependency indication information, thus supporting partial access, correct decoding, and personalized presentation of a point cloud bitstream.