International Business Machines Corporation

Juliana Jansen Ferreira

Renato Fontoura De Gusmao Cerqueira

Ana Fucs

Vinicius Costa Villas Boas Segura

Marcio Ferreira Moreno

Rafael Rossi De Mello Brandao

Emilio Ashton Vital Brazil

Rodrigo Da Silva Ferreira

Viviane Torres Da Silva

Daniel Salles Chevitarese

Joana De Noronha Ribeiro De Almeida

Leonardo Guerreiro Azevedo

Marco Daniel Melo Ferraz

Dario Sergio Cersosimo

Bruno Felix Carvalho

Raphael Melo Thiago

Elton Figueiredo De Souza Soares

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.

Machine teaching complex concepts assisted by computer vision and knowledge reasoning

Systems and methods are described for mapping input devices in real time. The method may include controlling a camera to capture a plurality of images, performing object recognition on the images to identify a plurality of objects, determining properties for each identified object that enable the corresponding object to provide spatial data and interaction data of a preferred input device, ranking the objects according to the determined properties, presenting the identified objects in an order corresponding to the rank that enables a user to select one of the presented objects, tracking the selected object and a human being, generating spatial data and interaction data from a result of the tracking, and providing the generated spatial data and interaction data to a computer to emulate the events of the preferred input device.

Method and system to automatically map physical objects into input devices in real time

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Rio de Janeiro, Brazil

Juliana Jansen Ferreira