18271434. INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)
Contents
- 1 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING 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 Original Abstract Submitted
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
Yoshikazu Watanabe of Tokyo (JP)
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18271434 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM
Simplified Explanation
The abstract describes an information processing device that can infer a detection target object in data by generating aggregate data, applying it to a trained model, and inferring the target object based on the results.
- The device includes a memory and at least one processor.
- The processor generates aggregate data from inference target data containing a detection target object.
- The aggregate data is applied to a trained model to infer a first region of the detection target object.
- Packed data is generated with the first region or a region of the inference target data.
- The packed data is then applied to the trained model to infer a second region of the detection target object.
- Finally, the detection target object is inferred in the inference target data based on the second region.
Potential Applications
This technology could be applied in various fields such as image recognition, object detection, and data analysis where inferring target objects from large datasets is required.
Problems Solved
This technology helps in efficiently inferring detection target objects in large datasets by generating aggregate data and using trained models, reducing the computational complexity and time required for such tasks.
Benefits
The benefits of this technology include improved accuracy in detecting target objects, faster processing of large datasets, and the ability to handle complex inference tasks effectively.
Potential Commercial Applications
- Image recognition software for security systems
- Autonomous vehicles for object detection and avoidance
- Data analysis tools for identifying patterns and anomalies in large datasets
Unanswered Questions
How does this technology compare to existing methods of object detection and inference?
What are the limitations of this technology in terms of scalability and real-time processing?
Original Abstract Submitted
An information processing device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: generating, based on inference target data include a detection target object, aggregate data smaller than the inference target data; and applying the aggregate data to a trained model to infer a first region that is a region of the detection target object in the aggregate data, generating packed data that is data packed with the first region or a region of the inference target data, applying the packed data to a trained model to infer a second region that is a region of the detection target object that is included, and inferring the detection target object in the inference target data based on the second region.
