Patents by Inventor Elton Figueiredo de Souza Soares

Elton Figueiredo de Souza Soares has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Machine teaching complex concepts assisted by computer vision and knowledge reasoning
    Patent number: 11989628
    Abstract: Machine teaching in an embodiment can include receiving a user annotated concept for a given image in given context. The given image can be broken into parts and classified. Relationships can be determined associated with the parts. The created relationships can be stored along with the user annotated concept in a knowledge base. One or more similar images can be annotated using the parts and relationships. A second image associated the given context can be retrieved, decomposed into parts. The parts can be classified. Relationships can be determined associated with the second image's parts. Classifications and relationships associated with the second image's parts can be compared with classifications and relationships associated with the given image's parts. Based on comparing, the second image can be annotated with the user annotated concept for the given image.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: May 21, 2024
    Assignee: International Business Machines Corporation
    Inventors: Emilio Ashton Vital Brazil, Rodrigo da Silva Ferreira, Viviane Torres da Silva, Renato Fontoura de Gusmao Cerqueira, Raphael Melo Thiago, Elton Figueiredo de Souza Soares, Leonardo Guerreiro Azevedo, Vinicius Costa Villas Boas Segura, Ana Fucs, Juliana Jansen Ferreira, Joana de Noronha Ribeiro de Almeida, Bruno Felix Carvalho, Dario Sergio Cersosimo, Marco Daniel Melo Ferraz
  • MACHINE TEACHING COMPLEX CONCEPTS ASSISTED BY COMPUTER VISION AND KNOWLEDGE REASONING
    Publication number: 20220284343
    Abstract: Machine teaching in an embodiment can include receiving a user annotated concept for a given image in given context. The given image can be broken into parts and classified. Relationships can be determined associated with the parts. The created relationships can be stored along with the user annotated concept in a knowledge base. One or more similar images can be annotated using the parts and relationships. A second image associated the given context can be retrieved, decomposed into parts. The parts can be classified. Relationships can be determined associated with the second image's parts. Classifications and relationships associated with the second image's parts can be compared with classifications and relationships associated with the given image's parts. Based on comparing, the second image can be annotated with the user annotated concept for the given image.
    Type: Application
    Filed: March 5, 2021
    Publication date: September 8, 2022
    Inventors: Emilio Ashton Vital Brazil, Rodrigo da Silva Ferreira, Viviane Torres da Silva, Renato Fontoura de Gusmao Cerqueira, Raphael Melo Thiago, Elton Figueiredo de Souza Soares, Leonardo Guerreiro Azevedo, Vinicius Costa Villas Boas Segura, Ana Fucs, Juliana Jansen Ferreira, Joana de Noronha Ribeiro de Almeida, Bruno Felix Carvalho, Dario Sergio Cersosimo, Marco Daniel Melo Ferraz