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Systems and methods that leverage deep learning to selectively store audiovisual content

机译:利用深度学习有选择地存储视听内容的系统和方法

摘要

Systems, methods, and devices for curating audiovisual content are provided. A mobile image capture device can be operable to capture one or more images; receive an audio signal; analyze at least a portion of the audio signal with a first machine-learned model to determine a first audio classifier label descriptive of an audio event; identify a first image associated with the first audio classifier label; analyze the first image with a second machine-learned model to determine a desirability of a scene depicted by the first image; and determine, based at least in part on the desirability of the scene depicted by the first image, whether to store a copy of the first image associated with the first audio classifier label in the non-volatile memory of the mobile image capture device or to discard the first image without storing a copy of the first image.
机译:提供了用于管理视听内容的系统,方法和设备。一种移动图像捕获设备可用于捕获一个或多个图像。接收音频信号;用第一机器学习模型分析音频信号的至少一部分,以确定描述音频事件的第一音频分类器标签;识别与第一音频分类器标签相关的第一图像;用第二机器学习模型分析第一图像,以确定第一图像描绘的场景的合意性;并至少部分地基于第一图像所描绘的场景的理想性,确定是否将与第一音频分类器标签相关联的第一图像的副本存储在移动图像捕获设备的非易失性存储器中或丢弃第一张图像而不存储第一张图像的副本。

著录项

  • 公开/公告号US10372991B1

    专利类型

  • 公开/公告日2019-08-06

    原文格式PDF

  • 申请/专利权人 GOOGLE LLC;

    申请/专利号US201815944415

  • 发明设计人 JAMES NIEMASIK;MANOJ PLAKAL;

    申请日2018-04-03

  • 分类号H04N5/93;G06K9;G10L25/57;G06N3/04;G10L25/30;

  • 国家 US

  • 入库时间 2022-08-21 12:13:59

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