Apple inc. (20240104766). Method and Device for Generating Metadata Estimations based on Metadata Subdivisions simplified abstract
Contents
- 1 Method and Device for Generating Metadata Estimations based on Metadata Subdivisions
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Method and Device for Generating Metadata Estimations based on Metadata Subdivisions - 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
Method and Device for Generating Metadata Estimations based on Metadata Subdivisions
Organization Name
Inventor(s)
Xiaohua Yang of San Jose CA (US)
Jin Wook Chang of San Jose CA (US)
Xuemei Zhang of Mountain View CA (US)
Method and Device for Generating Metadata Estimations based on Metadata Subdivisions - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104766 titled 'Method and Device for Generating Metadata Estimations based on Metadata Subdivisions
Simplified Explanation
The abstract describes a method for generating metadata estimations based on metadata subdivisions, involving obtaining an input image, obtaining associated metadata, subdividing the metadata, determining a viewport based on head pose or eye tracking information, generating metadata estimations using an estimation algorithm, and creating an output image using an image processing algorithm based on the estimations.
- Obtaining input image and associated metadata
- Subdividing metadata into multiple subdivisions
- Determining viewport based on head pose or eye tracking
- Generating metadata estimations using an algorithm
- Creating output image based on estimations
Potential Applications
The technology described in this patent application could be applied in various fields such as augmented reality, virtual reality, image recognition, and computer vision.
Problems Solved
This technology addresses the challenge of accurately estimating metadata from input images, which can be crucial for applications like facial recognition, object detection, and image analysis.
Benefits
The benefits of this technology include improved accuracy in metadata estimations, enhanced performance in image processing tasks, and potential advancements in augmented reality applications.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced facial recognition systems for security purposes, as well as in the enhancement of virtual reality experiences through more precise metadata estimations.
Possible Prior Art
One possible prior art for this technology could be existing image processing algorithms that utilize metadata for various applications, although the specific method described in this patent application may offer unique advancements in accuracy and efficiency.
Unanswered Questions
How does this technology compare to existing image processing methods?
This article does not provide a direct comparison between this technology and existing image processing methods.
What specific industries could benefit the most from this technology?
The article does not specify which industries could benefit the most from the technology described.
Original Abstract Submitted
in one implementation, a method is performed for generating metadata estimations based on metadata subdivisions. the method includes: obtaining an input image; obtaining metadata associated with the input image; subdividing the metadata into a plurality of metadata subdivisions; determining a viewport relative to the input image based on at least one of head pose information and eye tracking information; generating one or more metadata estimations by performing an estimation algorithm on at least a portion of the plurality of metadata subdivisions based on the viewport; and generating an output image by performing an image processing algorithm on the input image based on the one or more metadata estimations.
