Nec corporation (20240135560). INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM simplified abstract
Contents
- 1 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - 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
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Yusuke Shinohara of Tokyo (JP)
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135560 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM
Simplified Explanation
The patent application describes an information processing apparatus that can estimate important and non-important regions in an image and replace them with alternative data based on their levels of importance.
- The obtaining means acquires input data containing image or point cloud data.
- The estimating means evaluates the importance levels of multiple regions within the input data frame.
- The replacing means generates replaced data by substituting regions with alternative data according to their importance levels.
- The evaluating means calculates an evaluation value by referencing the replaced data.
- The training means refines the estimating process using the evaluation value.
Potential Applications
This technology could be applied in image processing, computer vision, and object recognition systems.
Problems Solved
This innovation helps in accurately identifying and focusing on important regions within an image, improving the efficiency of data processing and analysis.
Benefits
- Enhanced accuracy in identifying important regions within images - Improved efficiency in data processing and analysis - Better performance in object recognition and computer vision tasks
Potential Commercial Applications
- Surveillance systems - Autonomous vehicles - Medical imaging technologies
Possible Prior Art
One possible prior art could be the use of machine learning algorithms to identify and prioritize important regions within images for various applications.
What are the potential limitations of this technology?
The abstract does not mention any potential limitations of this technology. However, some challenges could include: - Processing speed limitations - Accuracy of importance level estimation
How does this technology compare to existing methods of region estimation in images?
The abstract does not provide a direct comparison to existing methods. However, this technology appears to offer a more sophisticated approach by considering importance levels for region estimation, potentially leading to more accurate results compared to traditional methods.
Original Abstract Submitted
to provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.
