Point Cloud Random Access Using Shared Parameter Set Indexing
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Solution Overview
Problem
Existing technologies face challenges in efficiently processing large volumes of point cloud data required for services like virtual reality, augmented reality, and self-driving, and lack effective random access functions for point cloud content.
Innovation Solution
A method and device for processing point cloud data that includes obtaining parameter sets for random access based on sample entry type, sync sample box, or parameter set sample group boxes, enabling efficient decoding and storage of G-PCC bitstreams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If parameter sets are stored in a fixed location in existing technologies, then the file structure is simple, but random access functionality is lost
Solution Approach 1:
The patent segments the file structure into multiple boxes (moov, mdat, stss, stsc, stsz) with specific functions. The moov box contains metadata including sample entries that reference parameter sets, while the mdat box contains actual media data. This segmentation enables random access by allowing the decoder to locate parameter sets in the moov box independently of the media data in the mdat box.
Solution Approach 2:
The patent introduces sample entries as intermediary structures that link media samples to their corresponding parameter sets. The sample entry contains a sample_description box that references the parameter set location, acting as a mediator that enables the decoder to find and use the correct parameter set for each sample without a fixed one-to-one mapping.
2Productivity
If all point cloud data is processed from the beginning in existing technologies, then decoding is straightforward, but access efficiency is reduced
Solution Approach 1:
The patent performs preliminary organization of parameter sets and sample entries during the encoding phase. Parameter sets are assigned specific locations and referenced by sample entries in advance, so that during decoding, the system can directly jump to the required parameter set location without processing data sequentially from the beginning. This preliminary structuring enables efficient random access while maintaining decoding simplicity.
3Ease of operation
If parameter sets are embedded in each sample in existing technologies, then random access is enabled, but data redundancy increases
Solution Approach 1:
The patent makes parameter sets universal by allowing a single parameter set to be referenced by multiple sample entries. The stsc (sync sample to cluster) box enables multiple samples to share the same parameter set location, eliminating redundancy. The sample description box within each sample entry provides a universal reference mechanism that points to the shared parameter set, reducing overall data size while maintaining accessibility.
Data Source
AI summary
A transmitting apparatus of point cloud data, a method performed by the transmitting apparatus, a reception apparatus, and a method performed by the reception apparatus are provided. According to the present disclosure, the method performed by the reception apparatus of point cloud data may include obtaining parameter sets necessary for a random access from the point cloud data, based on that a request for the random access from a first sample among samples within the point cloud data is occurred, and decoding the first sample and one or more samples that follow the first sample in decoding order, based on the parameter sets. The parameter sets may be obtained from a sample entry of a track or a predetermined sample, based on at least one of a sample entry type of the track including the first sample, a presence of a sync sample box or a presence of parameter set sample group boxes.