Meta platforms technologies, llc (20240354894). Spatio-Temporal Separable Filters simplified abstract
Contents
Spatio-Temporal Separable Filters
Organization Name
meta platforms technologies, llc
Inventor(s)
Grant Kaijuin Yang of San Bruno CA (US)
Steven Paul Lansel of Apopka FL (US)
Irad Ratmansky of Lebanon TN (US)
Bruce Zitelli of Austin TX (US)
Spatio-Temporal Separable Filters - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354894 titled 'Spatio-Temporal Separable Filters
Simplified Explanation: The patent application describes a filter system that can efficiently filter images using a series of smaller filters instead of large 2D filters, reducing computation cost and memory usage. By applying these filters sequentially across multiple frames, the system integrates information over time to produce high-quality filtering results.
Key Features and Innovation:
- Use of smaller filters instead of large 2D filters
- Sequential application of filters across multiple frames
- Time integration of information for higher quality results
- Reduced computation and memory footprint
Potential Applications: The technology can be applied in image processing, video editing, real-time filtering applications, and digital signal processing.
Problems Solved: The technology addresses the challenge of filtering images effectively with low computation cost and memory usage while maintaining high-quality results.
Benefits:
- Efficient image filtering
- Reduced computation and memory requirements
- High-quality filtering results
- Seamless integration into existing systems
Commercial Applications: The technology can be utilized in video streaming services, surveillance systems, medical imaging, and augmented reality applications to enhance image quality and reduce processing overhead.
Prior Art: Prior research in the field of image processing and digital filtering may provide insights into similar approaches to optimizing filter systems.
Frequently Updated Research: Stay updated on advancements in image processing, real-time filtering algorithms, and digital signal processing techniques to enhance the efficiency and performance of the filter system.
Questions about Filter System: 1. How does the filter system optimize image filtering with smaller filters? 2. What are the potential commercial applications of this technology?
By implementing a filter system that utilizes smaller filters and integrates information over time, the patent application aims to revolutionize image processing and digital filtering techniques, offering efficient and high-quality solutions for various applications.
Original Abstract Submitted
a filter system can effectively filter images with low computation cost by, instead of using large 2d filters, applying a series of smaller filters that require less compute and memory. in some implementations, the larger filter function, �, is replaced by �, �, . . . , �where �(x)≈�(x)+�(x)+ . . . +�(x). the filter system can apply these filters sequentially across multiple frames in time. the time integration of information by the human visual system results in the perception of a single higher quality filtering result, while using only the compute and memory footprint necessary to implement the filters. the number of frames across which a filter can be split without introducing flicker artifacts is dependent on the refresh rate of the display.
