20240078738.Compression of Attribute Values Comprising Unit Vectors simplified abstract (apple inc.)
Contents
- 1 Compression of Attribute Values Comprising Unit Vectors
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Compression of Attribute Values Comprising Unit Vectors - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
Compression of Attribute Values Comprising Unit Vectors
Organization Name
Inventor(s)
Khaled Mammou of Danville CA (US)
Deepak S. Tolani of Sunnyvale CA (US)
Alexandros Tourapis of Los Gatos CA (US)
Compression of Attribute Values Comprising Unit Vectors - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240078738 titled 'Compression of Attribute Values Comprising Unit Vectors
Simplified Explanation
The patent application describes a system for compressing and decompressing attribute information for visual volumetric content, such as mesh representations, where some attribute values include unitary vectors like surface normal vectors or surface tangent vectors with a magnitude of one unit. The system maps three-dimensional unit vectors into two-dimensional parametric coordinates for a planar representation of a unit sphere to compress the attribute information efficiently.
- The system compresses and decompresses attribute information for visual volumetric content.
- Attribute values in the representation include unitary vectors like surface normal vectors or surface tangent vectors.
- Three-dimensional unit vectors are mapped into two-dimensional parametric coordinates for compression.
- Adaptive selection of mappings is used to reduce negative effects on compression due to distortion or discontinuities in the planar representation.
Potential Applications
The technology could be applied in various fields such as computer graphics, virtual reality, augmented reality, medical imaging, and scientific visualization.
Problems Solved
1. Efficient compression and decompression of attribute information for visual volumetric content. 2. Reduction of negative effects on compression due to distortion or discontinuities in the planar representation.
Benefits
1. Improved storage efficiency for visual volumetric content. 2. Enhanced rendering performance by compressing attribute information effectively. 3. Better preservation of attribute values during compression and decompression processes.
Potential Commercial Applications
"Enhancing Visual Volumetric Content Compression for Improved Performance and Storage Efficiency"
Possible Prior Art
There may be prior art related to compression techniques for attribute information in visual volumetric content, but specific examples are not provided in the abstract.
Unanswered Questions
== How does the system handle compression of non-unitary vectors in the attribute information? The abstract focuses on compressing unitary vectors, but it is unclear how the system deals with non-unitary vectors in the attribute information.
== What is the impact of the adaptive selection of mappings on the overall compression ratio? While the adaptive selection of mappings is mentioned as a method to reduce negative effects on compression, the abstract does not specify how this affects the compression ratio or efficiency of the system.
Original Abstract Submitted
a system compresses and decompresses attribute information for visual volumetric content, such as a mesh representation. attribute values are included in the visual volumetric representation, wherein at least some of the attribute values include unitary vectors, such as surface normal vectors or surface tangent vectors having a magnitude of one unit. in order to compress the attribute information the three-dimensional unit vectors are mapped into two dimensional parametric coordinates for a planar representation of a unit sphere. to reduce negative effects on compression due to distortion or discontinuities in the planar representation, mappings for compressing respective unit vectors are adaptively selected.
