17429517. ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF simplified abstract (Samsung Electronics Co., Ltd.)

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ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Liudmyla Hirilishena of Kyiv (UA)

Oleksii Pomyrlianu of Kyiv (UA)

Tetiana Ignatova of Kyiv (UA)

Donghyuk Lee of Suwon-si (KR)

Olga Radyvonenko of Kyiv (UA)

ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF - A simplified explanation of the abstract

This abstract first appeared for US patent application 17429517 titled 'ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

Simplified Explanation

The abstract describes an electronic apparatus that uses a neural network model to identify content information based on a user's sketch input. The apparatus includes an input interface, a memory to store embedding vectors and related content information, and a processor.

  • The electronic apparatus has an input interface and a memory to store embedding vectors and content information.
  • The processor uses a neural network model to obtain a second embedding vector from a user's sketch input.
  • The processor compares the second embedding vector with a plurality of first embedding vectors stored in the memory.
  • The processor identifies the first embedding vector with the highest similarity to the second embedding vector.
  • The processor retrieves the content information related to the identified first embedding vector and outputs it.

Potential Applications

  • This technology can be used in various fields such as image recognition, object identification, and content-based search systems.
  • It can be applied in mobile devices, smart home systems, and other electronic devices to provide quick and accurate content information based on user sketches.

Problems Solved

  • Traditional methods of content identification and retrieval may require text-based input or complex search queries, which can be time-consuming and less intuitive.
  • This technology solves the problem of efficiently identifying and retrieving content information based on user sketches, providing a more user-friendly and intuitive approach.

Benefits

  • The electronic apparatus provides a simplified and intuitive way for users to obtain content information based on their sketches.
  • It reduces the need for text-based input or complex search queries, making the content identification process more efficient.
  • The neural network model improves the accuracy of content identification by comparing sketch inputs with stored embedding vectors.


Original Abstract Submitted

An electronic apparatus is provided. The electronic apparatus includes an input interface, a memory configured to store a plurality of first embedding vectors and content information related to each of the plurality of first embedding vectors, and at least one processor. The at least one processor is configured to obtain a sketch input of a user through the input interface, obtain a second embedding vector by inputting the sketch input to a neural network model, identify a first embedding vector, among the plurality of first embedding vectors, having a highest similarity with the second embedding vector, and obtain and output content information corresponding to the identified first embedding vector.

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