Apple inc. (20240098368). Sensor Cropped Video Image Stabilization (VIS) simplified abstract
Contents
- 1 Sensor Cropped Video Image Stabilization (VIS)
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Sensor Cropped Video Image Stabilization (VIS) - 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
Sensor Cropped Video Image Stabilization (VIS)
Organization Name
Inventor(s)
Patrick A. Carroll of Scotts Valley CA (US)
Ajay Ramesh of San Jose CA (US)
Ashwini Dwarakanath of Cupertino CA (US)
David A. Silverstein of Palo Alto CA (US)
David R. Pope of Campbell CA (US)
Michael W. Tao of San Jose CA (US)
Terence N. Tam of Santa Clara CA (US)
Vitanshu Sharma of Cupertino CA (US)
Sensor Cropped Video Image Stabilization (VIS) - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240098368 titled 'Sensor Cropped Video Image Stabilization (VIS)
Simplified Explanation
The patent application describes techniques for predictive image sensor cropping to enhance video image stabilization, especially for high-resolution sensors.
- Obtaining image information from previous images before capturing the current image
- Predicting the cropping region for the current image on the image sensor
- Reading out a cropped version of the current image into memory based on the predicted cropping region
- Producing a video based on the cropped versions of the images
Potential Applications
The technology can be applied in video recording devices, surveillance systems, and drones to improve image stabilization and overall video quality.
Problems Solved
1. Enhances video image stabilization for high-resolution image sensors 2. Improves overall video quality by cropping images based on predicted regions
Benefits
1. Smoother and more stable videos 2. Enhanced image quality 3. Efficient use of memory and processing resources
Potential Commercial Applications
Optimized Video Recording Technology for Enhanced Image Stabilization
Possible Prior Art
There may be prior art related to image cropping techniques for video stabilization, but specific examples are not provided in this patent application.
Unanswered Questions
How does this technology impact battery life in devices utilizing it?
The patent application does not address the potential impact of this technology on battery life in devices. It would be important to consider how the increased processing for predictive cropping may affect power consumption.
Are there any limitations to the size or resolution of images that can be effectively stabilized using this technology?
The patent application does not specify any limitations regarding the size or resolution of images that can be stabilized using this technology. It would be essential to understand if there are any constraints in applying this technique to images of varying sizes and resolutions.
Original Abstract Submitted
devices, methods, and non-transitory program storage devices are disclosed herein to perform predictive image sensor cropping operations to improve the performance of video image stabilization operations, especially for high resolution image sensors. according to some embodiments, the techniques include, for each of one or more respective images of a first plurality of images: obtaining image information corresponding to one or more images in the first plurality of images captured prior to the respective image; predicting, for the respective image, an image sensor cropping region to be read out from the first image sensor; and then reading out, into a memory, a first cropped version of the respective image comprising only the predicted image sensor cropping region for the respective image. then, a first video may be produced based, at least in part, on the first cropped versions of the one or more respective images of the first plurality of images.
- Apple inc.
- Patrick A. Carroll of Scotts Valley CA (US)
- Ajay Ramesh of San Jose CA (US)
- Ashwini Dwarakanath of Cupertino CA (US)
- David A. Silverstein of Palo Alto CA (US)
- David R. Pope of Campbell CA (US)
- Michael W. Tao of San Jose CA (US)
- Terence N. Tam of Santa Clara CA (US)
- Vitanshu Sharma of Cupertino CA (US)
- H04N5/232
- G06T7/38