18459179. METHOD AND ELECTRONIC DEVICE FOR PROVIDING TEXT-RELATED IMAGE simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

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METHOD AND ELECTRONIC DEVICE FOR PROVIDING TEXT-RELATED IMAGE

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Yusun Lim of Seongnam-si (KR)

METHOD AND ELECTRONIC DEVICE FOR PROVIDING TEXT-RELATED IMAGE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18459179 titled 'METHOD AND ELECTRONIC DEVICE FOR PROVIDING TEXT-RELATED IMAGE

Simplified Explanation

An AI system is described that can simulate various functions of the human brain, such as recognition and determination, using a mechanical learning algorithm like deep learning. The system also includes an application for this AI technology.

  • The AI system uses a mechanical learning algorithm, like deep learning, to simulate functions of the human brain.
  • The system can recognize and determine various aspects of information, similar to how the human brain processes data.
  • An application of this AI system is provided, which involves providing a text-related image to a user.
  • The method includes obtaining a text and determining at least one image related to the text.
  • The determination is based on the degree of relatedness between the obtained text and the result of applying AI data recognition models to both the text and a user-accessible image.
  • The determined image(s) are then displayed to the user.

Potential Applications

This AI system and its application can have various potential applications, including:

  • Content generation: The system can be used to automatically generate relevant images for text-based content, such as articles, blogs, or social media posts.
  • Advertising: Marketers can use this technology to display images related to the text of their advertisements, increasing the relevance and impact of their campaigns.
  • E-commerce: Online shopping platforms can utilize this system to provide visual representations of text-based product descriptions, enhancing the user experience and improving product discovery.

Problems Solved

This AI system addresses several problems:

  • Manual image search: It eliminates the need for manual searching and selection of images related to text, saving time and effort.
  • Relevance determination: The system uses AI data recognition models to determine the relevance of images to the text, ensuring that the displayed images are closely related to the content.
  • User accessibility: By considering the user-accessible image, the system can provide personalized and contextually relevant images to individual users.

Benefits

The benefits of this AI system and its application include:

  • Efficiency: The system automates the process of finding and displaying relevant images, saving time and resources.
  • Enhanced user experience: By providing visually appealing and contextually relevant images, the system improves user engagement and satisfaction.
  • Personalization: The inclusion of the user-accessible image allows for personalized image recommendations, tailored to individual preferences and interests.


Original Abstract Submitted

An artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of human brains by using a mechanical learning algorithm like deep learning, or the like, and an application thereof is provided. A method of providing a text-related image is provided. The method includes obtaining a text, determining at least one image related to the obtained text based on a degree of relatedness between a result of applying a first AI data recognition model to the obtained text and a result of applying a second AI data recognition model to a user-accessible image, and displaying the determined at least one image to a user.