18489917. STORAGE MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING DEVICE simplified abstract (Fujitsu Limited)
Contents
STORAGE MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING DEVICE
Organization Name
Inventor(s)
Yasuhiro Aoki of Kawasaki (JP)
Takuma Yamamoto of Yokohama (JP)
Daisuke Uchida of Kawasaki (JP)
STORAGE MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18489917 titled 'STORAGE MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING DEVICE
Simplified Explanation: The patent application describes a program that uses machine learning to identify attributes of objects in a video and categorize them into hierarchies.
- Acquiring a video containing an object
- Inputting the video into a machine learning model referencing reference source data
- Identifying attributes of the object in a specific hierarchy
- Determining attributes of objects in a higher hierarchy based on the identified attributes
- Specifying the attributes of the object in the higher hierarchy
Key Features and Innovation:
- Utilizes machine learning to analyze attributes of objects in videos
- Categorizes objects into hierarchies based on their attributes
- Enables the identification of attributes of objects in higher hierarchies
Potential Applications:
- Video content analysis
- Object recognition in videos
- Hierarchical categorization of objects in videos
Problems Solved:
- Efficiently identifying and categorizing objects in videos
- Automating the process of analyzing attributes of objects
- Streamlining the classification of objects into hierarchies
Benefits:
- Improved accuracy in identifying object attributes
- Time-saving in categorizing objects in videos
- Enhanced organization of object data for further analysis
Commercial Applications: The technology can be used in industries such as security, retail, and entertainment for efficient object recognition and categorization in videos, leading to improved decision-making processes and enhanced user experiences.
Questions about the Technology: 1. How does the machine learning model determine the attributes of objects in the video? 2. What are the potential limitations of using this technology in real-world applications?
Frequently Updated Research: Stay updated on advancements in machine learning algorithms for object recognition and categorization in videos to enhance the efficiency and accuracy of the technology.
Original Abstract Submitted
A non-transitory computer-readable storage medium storing a specifying program that causes at least one computer to execute a process, the process includes acquiring a video that includes an object; narrowing down, by inputting the acquired video to a machine learning model that refers to reference source data in which attributes of objects are associated with each of a plurality of hierarchies, attributes of the object included in the video among attributes of objects of a first hierarchy; identifying attributes of objects of a second hierarchy under the first hierarchy by using the attributes of the object obtained by the narrowing down; and specifying, by inputting the acquired video to the machine learning model, an attribute of the object included in the video among the attributes of the objects of the second hierarchy.
