3D Point Cloud Encoding with Duplicate-Point Frame Signaling
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Solution Overview
Problem
Existing three-dimensional data encoding methods do not effectively reduce data amount, particularly in point cloud representation, necessitating improved compression techniques for efficient accumulation and transmission.
Innovation Solution
A method involving dividing a current frame into processing units and encoding these units, with control information indicating the presence or absence of duplicated points, and using quantization parameters as needed, to generate a bitstream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If point cloud data is compressed using existing encoding methods, then data transmission efficiency is improved, but data amount reduction is insufficient
Solution Approach 1:
The current frame is divided into multiple processing units (e.g., tiles or slices) that can be independently encoded and processed. This segmentation allows for more granular control over compression parameters and enables parallel processing, improving both transmission efficiency and compression ratio.
Solution Approach 2:
The patent introduces frame-level control information that dynamically adjusts encoding parameters based on the presence of duplicated points. By changing quantization parameters and encoding strategies according to the specific characteristics of each frame, the system achieves better compression ratios while maintaining transmission efficiency.
2Quantity of substance
If detailed control information is added to notify duplicated points, then data compression is improved, but bitstream complexity increases
Solution Approach 1:
The patent extracts only the essential control information needed for decoding - specifically, a flag indicating the presence of duplicated points at the frame level. This minimal extraction approach provides sufficient information for effective compression without adding significant complexity to the bitstream structure.
Solution Approach 2:
Instead of providing complete and detailed information about every duplicated point, the patent uses a partial action approach by introducing a simple frame-level indicator. This partial information is sufficient to guide the decoding process and achieve compression goals without the overhead of exhaustive detailing.
3Quantity of substance
If frame-based notification of duplicated points is implemented, then data amount is reduced, but encoding complexity increases
Solution Approach 1:
The patent performs preliminary analysis of the point cloud data to identify frames containing duplicated points before the main encoding process. This advance detection allows the encoder to prepare appropriate control information and adjust encoding parameters in advance, reducing the computational burden during the actual encoding phase.
Solution Approach 2:
The encoding system automatically detects and manages duplicated points within point cloud frames by introducing frame-level control information. This self-service mechanism eliminates the need for external preprocessing or manual intervention, reducing overall system complexity while achieving data amount reduction.
Data Source
AI summary
A three-dimensional data encoding method includes: dividing a current frame including three-dimensional points into processing units; and encoding the processing units to generate a bitstream. Control information for each frame included in the bitstream includes first information indicating whether (i) one of the processing units included in the current frame includes duplicated points that are three-dimensional points having same geometry information or (ii) none of the processing units includes the duplicated points.