18367193. ELECTRONIC APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN AN IMAGE AND CONTROL METHOD THEREOF simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 ELECTRONIC APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN AN IMAGE AND CONTROL METHOD THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTRONIC APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN AN IMAGE AND CONTROL METHOD THEREOF - 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
ELECTRONIC APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN AN IMAGE AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Wookhyung Kim of Suwon-si (KR)
ELECTRONIC APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN AN IMAGE AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18367193 titled 'ELECTRONIC APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN AN IMAGE AND CONTROL METHOD THEREOF
Simplified Explanation
The electronic apparatus described in the patent application includes a memory storing a neural network model with two networks, and at least one processor connected to the memory. The processor is able to process images through the networks to obtain description information, a second image, and a third image representing a region of interest.
- Neural network model with first and second networks
- Processor obtains description information from first image
- Processor generates second image based on description information
- Processor obtains third image representing region of interest of first image
Potential Applications
This technology could be applied in various fields such as image processing, computer vision, and artificial intelligence research.
Problems Solved
This technology helps in efficiently processing images, extracting relevant information, and identifying regions of interest within images.
Benefits
The benefits of this technology include improved image analysis, enhanced object recognition, and streamlined data processing.
Potential Commercial Applications
Potential commercial applications of this technology could include image recognition software, medical imaging systems, and security surveillance systems.
Possible Prior Art
Prior art in this field may include existing neural network models for image processing, image recognition algorithms, and computer vision technologies.
Unanswered Questions
How does this technology compare to existing image processing methods?
This article does not provide a direct comparison with traditional image processing techniques or other neural network models.
What are the limitations of this technology in real-world applications?
The article does not address potential challenges or limitations that may arise when implementing this technology in practical settings.
Original Abstract Submitted
An electronic apparatus includes a memory configured to store a neural network model including a first network and a second network. The electronic apparatus also includes at least one processor connected to the memory. The at least one processor is configured to obtain description information corresponding to a first image by inputting the first image to the first network, obtain a second image based on the description information, obtain a third image representing a region of interest of the first image by inputting the first image and the second image to the second network. The neural network model is a model trained based on a plurality of sample images, a plurality of sample description information corresponding to the plurality of sample images, and a sample region of interest of the plurality of sample images.
