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PREDICTION MODEL TRAINING VIA LIVE STREAM CONCEPT ASSOCIATION

机译:基于实时流概念关联的预测模型训练

摘要

in certain embodiments, training of a neural network or other prediction model may be facilitated via live stream concept association. 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,可以通过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,可以在用户界面上加载实时视频流以向用户呈现。在用户界面上呈现实时视频流期间,可经由用户界面接收与实时视频流的帧相关的用户选择,其中用户选择指示实时视频流的帧中存在概念。响应于与帧相关的用户选择,可以生成实时视频流的帧的至少一部分与概念的关联,并且可以基于帧的至少一部分与概念的关联来训练神经网络或其他预测模型。

著录项

  • 公开/公告号US2022132222A1

    专利类型

  • 公开/公告日2022-04-28

    原文格式PDF

  • 申请/专利权人 CLARIFAI INC.;

    申请/专利号US202217571602

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

    申请日2022-01-10

  • 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 2024-06-14 23:01:33

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