18079152. Empty Space Matrix Condensation simplified abstract (Microsoft Technology Licensing, LLC)
Contents
- 1 Empty Space Matrix Condensation
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Empty Space Matrix Condensation - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Grid Compression and Object Remapping
- 1.13 Original Abstract Submitted
Empty Space Matrix Condensation
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Madeleine Rosa Beagley of Vancouver (CA)
Juan Bernardo Tamez Pena of Bothell WA (US)
Empty Space Matrix Condensation - A simplified explanation of the abstract
This abstract first appeared for US patent application 18079152 titled 'Empty Space Matrix Condensation
Simplified Explanation
The method involves condensing a grid by removing cells based on a compression threshold value, then remapping objects in the display space to reduce space between clusters while maintaining relative positioning within the clusters.
- Obtaining grid cell size for clusters of objects
- Mapping objects to cells in the grid
- Using a compression threshold value to condense the grid
- Remapping objects in the display space to reduce space between clusters
Key Features and Innovation
- Grid compression to remove cells based on a threshold value
- Remapping objects to reduce space between clusters while maintaining relative positioning
- Optimization of display space for better organization and efficiency
Potential Applications
This technology can be applied in:
- Data visualization software
- Image processing applications
- Spatial organization tools
Problems Solved
- Cluttered display spaces with inefficient object organization
- Difficulty in visually distinguishing between clusters of objects
- Inefficient use of screen real estate
Benefits
- Improved organization and efficiency in display spaces
- Enhanced visual clarity and distinction between object clusters
- Optimal use of screen real estate
Commercial Applications
- Spatial organization software for businesses
- Data visualization tools for research institutions
- Image processing applications for design studios
Prior Art
Further research can be conducted in the field of grid compression techniques and object remapping algorithms to explore existing technologies related to this innovation.
Frequently Updated Research
Stay updated on advancements in grid compression algorithms and object mapping techniques to enhance the efficiency and effectiveness of this technology.
Questions about Grid Compression and Object Remapping
What are the key benefits of grid compression in display spaces?
Grid compression helps optimize screen real estate by condensing the grid and reducing space between clusters of objects, leading to improved organization and efficiency.
How does object remapping contribute to better spatial organization?
Object remapping ensures that objects are rearranged in the display space to reduce clutter and enhance visual clarity, maintaining relative positioning within clusters.
Original Abstract Submitted
A computer implemented method includes obtaining a grid cell size for multiple clusters of objects in a display space. The objects are mapped to cells in the grid having the grid cell size. A grid compression threshold value expressed as a number of cells is used to condense the grid by removing cells based on the grid compression threshold value. The objects are remapped in the display space such that space between clusters of objects is reduced while maintaining relative positioning of objects within the clusters.
