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Prediction model training via live stream concept association

机译:通过实时流概念关联进行预测模型训练

摘要

In certain embodiments, training of a neural network or other prediction model may be facilitated via live stream concept association. In some embodiments, a live video stream may be loaded on a user interface for presentation to a user. A user selection related to a frame of the live video stream may be received via the user interface during the presentation of the live video stream on the user interface, where the user selection indicates a presence of a concept in the frame of the live video stream. In response to the user selection related to the frame, an association of at least a portion of the frame of the live video stream and the concept may be generated, and the neural network or other prediction model may be trained based on the association of at least the portion of the frame with the concept.
机译:在某些实施例中,可以经由实时流概念关联来促进神经网络或其他预测模型的训练。在一些实施例中,实况视频流可以被加载在用户界面上以呈现给用户。可以在用户界面上实时视频流的呈现期间经由用户界面来接收与实时视频流的帧有关的用户选择,其中用户选择指示概念在实时视频流的帧中的存在。 。响应于与帧有关的用户选择,可以生成实况视频流的帧的至少一部分与概念的关联,并且可以基于以下点的关联来训练神经网络或其他预测模型。至少是框架中带有该概念的部分。

著录项

  • 公开/公告号US10779060B2

    专利类型

  • 公开/公告日2020-09-15

    原文格式PDF

  • 申请/专利权人 CLARIFAI INC.;

    申请/专利号US201815986239

  • 发明设计人 MATTHEW D. ZEILER;DANIEL KANTOR;

    申请日2018-05-22

  • 分类号H04N21/84;H04N21/2187;H04N21/482;H04N21/431;H04N21/4223;H04N21/466;H04N21/278;H04N21/266;H04N21/44;H04N21/80;H04N21/422;H04N21/81;H04N21/231;H04N21/234;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 11:30:48

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