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Varying Audio Visual Compression based on AI Detection or Classification Results

机译:基于AI检测或分类结果改变音频视觉压缩

摘要

In one embodiment, a computing device receives, from one or more cameras, a video stream comprising multiple frames, where the video stream is received at a first quality. The computing device analyzes, using a machine-learning model, images in the frames, where the machine-learning model has been trained to detect one or more objects-of-interest in the images. The computing device identifies a sequence-of-interest including consecutive frames of the video stream, where at least one object-of-interest was detected in at least one of the consecutive frames. The computing device generates a video package including the sequence-of-interest.
机译:在一个实施例中,计算设备从一个或多个摄像机接收包括多个帧的视频流,其中视频流以第一质量接收。计算设备使用机器学习模型进行分析,其中帧中的图像,其中机器学习模型已经过培训以检测图像中的一个或多个兴趣对象。计算设备识别包括视频流的连续帧的序列,其中在至少一个连续帧中检测到至少一个感兴趣off。计算设备生成包括偏移序列的视频包。

著录项

  • 公开/公告号US2021136320A1

    专利类型

  • 公开/公告日2021-05-06

    原文格式PDF

  • 申请/专利权人 XNOR.AI INC.;

    申请/专利号US201916672357

  • 发明设计人 PETER ZATLOUKAL;

    申请日2019-11-01

  • 分类号H04N7/01;G06K9;H04N5/917;G06K9/62;H04N7/18;

  • 国家 US

  • 入库时间 2022-08-24 18:34:14

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