International business machines corporation (20240096046). SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK simplified abstract
Contents
- 1 SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK
Organization Name
international business machines corporation
Inventor(s)
Mauro Marzorati of Lutz FL (US)
Jeremy R. Fox of Georgetown TX (US)
Sarbajit K. Rakshit of Kolkata (IN)
Carolina Garcia Delgado of Zapopan (MX)
SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096046 titled 'SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK
Simplified Explanation
The abstract describes a method, computer system, and computer program product for selective image processing, which involves receiving a digital image, identifying a context, performing object detection, overlaying bounding boxes on the image, and processing exclusively within the bounding boxes.
- Receiving a digital image for selective image processing
- Identifying a context for the image processing
- Performing object detection within the image
- Overlaying bounding boxes on the image to encompass identified objects
- Processing exclusively within the bounding boxes
Potential Applications
This technology could be applied in various fields such as:
- Surveillance systems
- Autonomous vehicles
- Medical imaging
- Augmented reality
Problems Solved
- Efficient and targeted image processing
- Improved object detection accuracy
- Reduction of processing time and resources
Benefits
- Enhanced image processing capabilities
- Increased accuracy in identifying objects
- Streamlined processing workflow
Potential Commercial Applications
The technology could find commercial applications in:
- Security systems
- Automotive industry
- Healthcare sector
- Entertainment and gaming industry
Possible Prior Art
One possible prior art could be the use of object detection algorithms in image processing systems to identify and analyze objects within images.
Unanswered Questions
How does the technology handle complex or cluttered images with multiple objects?
The technology's effectiveness in processing images with multiple objects in complex scenes is not explicitly addressed in the abstract. Further details on how the system handles such scenarios would be beneficial.
What is the computational overhead of overlaying bounding boxes on images for processing?
The abstract does not mention the computational resources required for overlaying bounding boxes on images. Understanding the computational overhead of this process would provide insights into the system's efficiency and scalability.
Original Abstract Submitted
according to one embodiment, a method, computer system, and computer program product for selective image processing. the embodiment may include receiving a digital image for selective image processing. the embodiment may include identifying a context of the selective image processing. the embodiment may include performing object detection within the received digital image to identify one or more depicted objects based on the identified context. the embodiment may include overlaying, on at least one portion of the received digital image, one or more bounding boxes which encompass relative positions of the identified one or more depicted objects. the embodiment may include performing the selective image processing exclusively within the one or more overlaid bounding boxes.
