Point Cloud Attribute Encoding With Base-Attribute Patch Generation
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Solution Overview
Problem
Existing methods for encoding multi-attribute point cloud data fail to utilize correlations between attributes, leading to an increase in the amount of data and code, which in turn increases processing loads and costs.
Innovation Solution
An image processing device and method that derives and encodes patch generation parameters using correlations between attributes, omits encoding of certain attribute video frames, and generates patches using base attributes to reduce the amount of code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If respective attribute video frames are encoded independently, then encoding simplicity is maintained, but the amount of code increases
Solution Approach 1:
The patent merges the encoding of multiple attributes by using one attribute video frame (base attribute) as reference for generating other attribute patches. Instead of independently encoding all attribute video frames, the system combines the base attribute encoding with patch generation processing that references the base attribute, thereby reducing the total code amount while maintaining encoding feasibility.
Solution Approach 2:
The patent uses the base attribute video frame as a template or copy reference to generate other attribute patches through patch generation processing. By copying the structural information from the base attribute and applying it to generate other attributes, the system avoids encoding redundant information while preserving attribute characteristics.
2Reliability
If all attribute video frames are encoded, then attribute data completeness is ensured, but processing load increases
Solution Approach 1:
The patent extracts only the essential base attribute video frame for full encoding, while other attributes are generated through patch generation processing that references the base attribute. This extraction approach ensures attribute data completeness by deriving all attributes from the encoded base attribute, while significantly reducing processing load by avoiding redundant encoding of other attributes.
3Quantity of substance
If patch generation parameters are derived and encoded for some attributes, then code amount is reduced, but encoding complexity increases
Solution Approach 1:
The patent changes the encoding approach by introducing patch generation parameters that define how to derive other attributes from the base attribute. Instead of encoding all attribute data directly, the system encodes parameters that control the generation process, thereby reducing code amount while managing complexity through parameter-based control.
Data Source
AI summary
There is provided an image processing device and method capable of suppressing an increase in amount of code. For example, a patch generation parameter used in patch generation processing for generating a patch of an attribute serving as a processing target by referring to an attribute different from the attribute serving as the processing target is derived for some of a plurality of attributes corresponding to single geometry of a point cloud that expresses an object having a three-dimensional shape as a set of points, the derived patch generation parameter is encoded, and an attribute video frame in which a base patch representing a base attribute that is an attribute different from some of the plurality of attributes has been arranged is encoded. The present disclosure can be applied to, for example, an image processing device, an electronic device, an image processing method, or a program.