Live video analytics at scale
    1.
    发明授权

    公开(公告)号:US10223604B2

    公开(公告)日:2019-03-05

    申请号:US15373301

    申请日:2016-12-08

    摘要: Various technologies described herein pertain to performing video analytics. The approaches set forth herein support live video analytics at scale with approximate and delay-tolerant processing. Video streams can be captured by multiple cameras and continuously streamed to a video analytics computing system; the video streams can be received at the video analytics computing system. Multiple video analytics queries can be executed on the video streams. The multiple video analytics queries can be concurrently executed by the video analytics computing system on the video streams as the video streams are continuously streamed to the video analytics computing system. The multiple video analytics queries can be executed utilizing resources of the video analytics computing system allocated between the multiple video analytics queries. Execution of the multiple video analytics queries can return respective results for the multiple video analytics queries. The results for the multiple video analytics queries can be outputted.

    LIVE VIDEO ANALYTICS AT SCALE
    2.
    发明申请

    公开(公告)号:US20180129892A1

    公开(公告)日:2018-05-10

    申请号:US15373301

    申请日:2016-12-08

    IPC分类号: G06K9/00

    摘要: Various technologies described herein pertain to performing video analytics. The approaches set forth herein support live video analytics at scale with approximate and delay-tolerant processing. Video streams can be captured by multiple cameras and continuously streamed to a video analytics computing system; the video streams can be received at the video analytics computing system. Multiple video analytics queries can be executed on the video streams. The multiple video analytics queries can be concurrently executed by the video analytics computing system on the video streams as the video streams are continuously streamed to the video analytics computing system. The multiple video analytics queries can be executed utilizing resources of the video analytics computing system allocated between the multiple video analytics queries. Execution of the multiple video analytics queries can return respective results for the multiple video analytics queries. The results for the multiple video analytics queries can be outputted.