Nvidia corporation (20240161222). APPLICATION PROGRAMMING INTERFACE TO INDICATE IMAGE-TO-COLUMN TRANSFORMATION simplified abstract
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO INDICATE IMAGE-TO-COLUMN TRANSFORMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO INDICATE IMAGE-TO-COLUMN TRANSFORMATION - 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
APPLICATION PROGRAMMING INTERFACE TO INDICATE IMAGE-TO-COLUMN TRANSFORMATION
Organization Name
Inventor(s)
Harold Carter Edwards of Campbell CA (US)
Stephen Anthony Bernard Jones of San Francisco CA (US)
Alexander Lev Minkin of Los Altos CA (US)
Olivier Giroux of Santa Clara CA (US)
Gokul Ramaswamy Hirisave Chandra Shekhara of Bangalore (IN)
Vishalkumar Ketankumar Mehta of Stäfa (CH)
Aditya Avinash Atluri of Redmond WA (US)
Apoorv Parle of Santa Clara CA (US)
Ronny Meir Krashinsky of Portola Valley CA (US)
Andrew Robert Kerr of Atlanta GA (US)
Jack H. Choquette of Palo Alto CA (US)
APPLICATION PROGRAMMING INTERFACE TO INDICATE IMAGE-TO-COLUMN TRANSFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161222 titled 'APPLICATION PROGRAMMING INTERFACE TO INDICATE IMAGE-TO-COLUMN TRANSFORMATION
Simplified Explanation
The patent application abstract describes apparatuses, systems, and techniques for generating image-to-column transformations using circuits that perform an application programming interface (API).
- Circuits are used to perform an API to generate image-to-column transformations.
- The patent application focuses on indicating how to generate one or more image-to-column transformations.
Potential Applications
This technology could be applied in:
- Image processing
- Data compression
- Pattern recognition
Problems Solved
This technology helps in:
- Efficiently transforming images into columns
- Streamlining data processing
- Enhancing image analysis algorithms
Benefits
The benefits of this technology include:
- Faster image-to-column transformation
- Improved data organization
- Enhanced performance of image-related applications
Potential Commercial Applications
The potential commercial applications of this technology could be in:
- Digital imaging devices
- Data analytics software
- Machine learning algorithms
Possible Prior Art
One possible prior art could be:
- Existing image transformation techniques
- API-based data processing systems
Unanswered Questions
How does this technology compare to existing image transformation methods?
This article does not provide a direct comparison with existing image transformation methods. Further research or a comparative study would be needed to address this question.
What specific types of image-to-column transformations can be generated using this technology?
The article does not specify the exact types of image-to-column transformations that can be generated. Additional information or examples would be required to answer this question accurately.
Original Abstract Submitted
apparatuses, systems, and techniques to indicate how to generate image-to-column transformations. in at least one embodiment, one or more circuits are to perform an application programming interface (api) to indicate how to generate one or more image-to-column transformations.
- Nvidia corporation
- Harold Carter Edwards of Campbell CA (US)
- Stephen Anthony Bernard Jones of San Francisco CA (US)
- Alexander Lev Minkin of Los Altos CA (US)
- Olivier Giroux of Santa Clara CA (US)
- Gokul Ramaswamy Hirisave Chandra Shekhara of Bangalore (IN)
- Vishalkumar Ketankumar Mehta of Stäfa (CH)
- Aditya Avinash Atluri of Redmond WA (US)
- Apoorv Parle of Santa Clara CA (US)
- Ronny Meir Krashinsky of Portola Valley CA (US)
- Alan Kaatz of Seattle WA (US)
- Andrew Robert Kerr of Atlanta GA (US)
- Jack H. Choquette of Palo Alto CA (US)
- G06T1/20
- G06F9/54
- G06F17/16
- G06T1/60