3D Point Attribute Encoding via Dependency Control
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Solution Overview
Problem
There is a demand to reduce the data amount of encoded three-dimensional data in encoding and decoding processes.
Innovation Solution
A decoding method and an encoding method that involve receiving control information to decode or encode first attribute information of a three-dimensional point, where the control information indicates that the first attribute depends on a second attribute, allowing for reduced data representation by utilizing differences or correlations between attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all attribute information of three-dimensional points is encoded independently, then complete information is preserved, but the data amount increases significantly
Solution Approach 1:
The patent merges the encoding of multiple attribute information by establishing dependency relationships between attributes. Instead of encoding each attribute independently, the system encodes only the difference information between attributes, combining multiple data streams into a more compact representation that reduces overall data volume while preserving complete information through the dependency structure.
Solution Approach 2:
The patent changes the encoding parameters from absolute attribute values to difference values based on dependency relationships. By transforming the data representation from independent attribute values to relative difference values guided by control information, the system achieves more efficient encoding that reduces data amount while maintaining information completeness.
2Quantity of substance
If attribute dependency relationships are utilized for encoding, then data compression is improved, but decoding complexity increases
Solution Approach 1:
The patent introduces control information as an intermediary element that carries the dependency relationship metadata between attributes. This control information acts as a mediator between the compressed difference data and the decoding process, enabling the decoder to understand and reconstruct the original attributes by applying the stored dependency relationships without requiring complex real-time analysis.
Solution Approach 2:
The patent performs preliminary action by pre-storing the dependency relationships and control information during the encoding phase. This preliminary preparation of decoding instructions allows the decoding process to follow predetermined rules rather than performing complex analysis, significantly reducing decoding complexity while maintaining the benefits of data compression.
3Productivity
If control information indicating attribute dependency is transmitted, then encoding efficiency improves, but transmission overhead increases
Solution Approach 1:
The patent extracts only the essential dependency relationship information from the full attribute data and transmits it separately as control information. By separating and extracting only the necessary metadata about attribute dependencies rather than transmitting all attribute data, the system achieves efficient encoding while minimizing the overhead of control information transmission.
Data Source
AI summary
A decoding method includes: receiving control information; and decoding first attribute information on a first attribute of a three-dimensional point, according to the control information received. The control information received indicates that the first attribute depends on a second attribute of the three-dimensional point.


