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    • 7. 发明授权
    • Deep frame analysis of multiple video streams in a pipeline architecture
    • 在流水线架构中的多个视频流的深度帧分析
    • US07672370B1
    • 2010-03-02
    • US10965682
    • 2004-10-13
    • Stephen G. RussellJ. Andrew FreemanRobert P. ValloneChristian PappasStephen D. FleischerGordon T. Haupt
    • Stephen G. RussellJ. Andrew FreemanRobert P. ValloneChristian PappasStephen D. FleischerGordon T. Haupt
    • H04B1/66
    • G06K9/00973G06K9/00711G08B13/19671
    • A pipeline architecture for analyzing multiple streams of video is embodied, in part, in a layer of application program interfaces (APIs) to each stage of processing. Buffer queuing is used between some stages, which helps moderate the load on the CPU(s). Through the layer of APIs, innumerable video analysis applications can access and analyze video data flowing through the pipeline, and can annotate portions of the video data (e.g., frames and groups of frames), based on the analyses performed, with information that describes the frame or group. These annotated frames and groups flow through the pipeline to subsequent stages of processing, at which increasingly complex analyses can be performed. At each stage, portions of the video data that are of little or no interest are removed from the video data. Ultimately, “events” are constructed and stored in a database, from which cross-event and historical analyses may be performed and associations with, and among, events may be made.
    • 用于分析多个视频流的流水线架构部分地体现在每个处理阶段的应用程序接口(API)层中。 在一些阶段之间使用缓冲区排队,这有助于缓和CPU上的负载。 通过API层,无数的视频分析应用程序可以访问和分析流经流水线的视频数据,并且可以基于所执行的分析来注释视频数据的一部分(例如,帧和帧组),其中描述 框架或组。 这些注释的帧和组流经管线到处理的后续阶段,在该阶段可以执行越来越复杂的分析。 在每个阶段,从视频数据中删除少量或不感兴趣的视频数据的部分。 最终,“事件”被构建并存储在数据库中,可以从该数据库中进行交叉事件和历史分析,并且可以进行与事件的关联以及事件之间的关联。
    • 8. 发明授权
    • Correlation processing among multiple analyzers of video streams at stages of a pipeline architecture
    • 在管道架构的阶段,视频流的多个分析器之间的相关处理
    • US07664183B2
    • 2010-02-16
    • US10965675
    • 2004-10-13
    • J. Andrew FreemanRobert P. ValloneStephen G. RussellStephen D. FleischerGordon T. Haupt
    • J. Andrew FreemanRobert P. ValloneStephen G. RussellStephen D. FleischerGordon T. Haupt
    • H04B1/66
    • G06K9/00973
    • A pipeline architecture for analyzing multiple streams of video is embodied, in part, in a layer of application program interfaces (APIs) to each stage of processing. Buffer queuing is used between some stages, which helps moderate the load on the CPU(s). Through the layer of APIs, innumerable video analysis applications can access and analyze video data flowing through the pipeline, and can annotate portions of the video data (e.g., frames and groups of frames), based on the analysis performed, with information that describes the frame or group. These annotated frames and groups flow through the pipeline to subsequent stages of processing, at which increasingly complex analysis can be performed. At each stage, portions of the video data that are of little or no interest are removed from the video data. Ultimately, “events” are constructed and stored in a database, from which cross-event and historical analysis may be performed and associations with, and among, events may be made.
    • 用于分析多个视频流的流水线架构部分地体现在每个处理阶段的应用程序接口(API)层中。 在一些阶段之间使用缓冲区排队,这有助于缓和CPU上的负载。 通过API层,无数的视频分析应用程序可以访问和分析流经流水线的视频数据,并且可以基于所执行的分析来注释视频数据的一部分(例如,帧和帧组),其中描述了 框架或组。 这些注释的帧和组通过管线流向后续的处理阶段,在此处可以进行越来越复杂的分析。 在每个阶段,从视频数据中删除少量或不感兴趣的视频数据的部分。 最终,“事件”被构造并存储在数据库中,可以从其中执行交叉事件和历史分析,并且可以进行与事件的关联以及事件之间的关联。