Invention Grant
- Patent Title: Automated semantic inference of visual features and scenes
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Application No.: US16141812Application Date: 2018-09-25
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Publication No.: US10719744B2Publication Date: 2020-07-21
- Inventor: Ned M. Smith , Katalin Klara Bartfai-Walcott , Eve M. Schooler , Shao-Wen Yang
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Alliance IP, LLC
- Main IPC: G06K9/72
- IPC: G06K9/72 ; G06K9/00 ; G06T7/11 ; G06K9/62 ; G06K9/66 ; H04N19/176 ; H04N19/12 ; H04N19/124 ; H04N19/513 ; H04N19/48 ; H04N19/167 ; H04N19/172 ; H04N19/44 ; G06T7/20

Abstract:
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.
Public/Granted literature
- US20190042900A1 AUTOMATED SEMANTIC INFERENCE OF VISUAL FEATURES AND SCENES Public/Granted day:2019-02-07
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