Machine teaching complex concepts assisted by computer vision and knowledge reasoning

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 annotat...

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Bibliographische Detailangaben
Hauptverfasser:	Fucs, Ana, Costa Villas Boas Segura, Vinicius, Azevedo, Leonardo Guerreiro, Carvalho, Bruno Felix, Figueiredo de Souza Soares, Elton, Thiago, Raphael Melo, Ribeiro de Almeida, Joana de Noronha, Ferraz, Marco Daniel Melo, da Silva Ferreira, Rodrigo, Cersosimo, Dario Sergio, Fontoura de Gusmao Cerqueira, Renato, Silva, Viviane Torres da, Ferreira, Juliana Jansen, Ashton Vital Brazil, Emilio
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	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.