17933130. SELECTIVE CONTOUR READING FROM IMAGE BASED ON CONTEXTUAL IMAGE ANALYSIS WITH AUGMENTED REALITY FEEDBACK simplified abstract (International Business Machines Corporation)
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 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 17933130 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 identifying objects in a digital image based on context and processing them within bounding boxes.
- Receiving a digital image for selective image processing
- Identifying the context of the image processing
- Performing object detection within the image to identify depicted objects
- Overlaying bounding boxes on the image to encompass the identified objects
- Processing the image 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
This technology helps in:
- Efficiently processing specific areas of an image
- Enhancing object detection accuracy
- Enabling targeted image processing based on context
Benefits
The benefits of this technology include:
- Improved image processing efficiency
- Enhanced object detection capabilities
- Context-aware image processing
Potential Commercial Applications
Potential commercial applications of this technology could include:
- Image editing software
- Security systems
- Medical imaging devices
- Augmented reality applications
Possible Prior Art
One possible prior art for this technology could be selective image processing techniques used in object detection systems.
Unanswered Questions
How does this technology handle complex backgrounds in images?
The technology may use advanced algorithms to differentiate between objects and backgrounds, but the specific methods are not detailed in the abstract.
Can this technology be applied to real-time image processing?
The abstract does not mention real-time processing capabilities, so it is unclear if this technology can be used for real-time applications.
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.
