- 专利标题: AUTOMATED SEMANTIC INFERENCE OF VISUAL FEATURES AND SCENES
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申请号: US16141812申请日: 2018-09-25
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公开(公告)号: US20190042900A1公开(公告)日: 2019-02-07
- 发明人: Ned M. Smith , Katalin Klara Bartfai-Walcott , Eve M. Schooler , Shao-Wen Yang
- 申请人: Ned M. Smith , Katalin Klara Bartfai-Walcott , Eve M. Schooler , Shao-Wen Yang
- 主分类号: G06K9/72
- IPC分类号: G06K9/72 ; G06K9/66 ; G06K9/62 ; G06K9/00
摘要:
In one embodiment, an apparatus comprises a memory and a processor. The memory stores visual data captured by one or more sensors. The processor detects one or more first objects in the visual data based on a machine learning model and one or more first reference templates. The processor further determines, based on an object ontology, that the visual data is expected to contain a second object, wherein the object ontology indicates that the second object is related to the one or more first objects. The processor further detects the second object in the visual data based on the machine learning model and a second reference template. The processor further determines, based on an inference rule, that the visual data is expected to contain a third object. The processor further detects the third object in the visual data based on the machine learning model and a third reference template.
公开/授权文献
- US10719744B2 Automated semantic inference of visual features and scenes 公开/授权日:2020-07-21
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