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    • 14. 发明授权
    • Dynamic allocation and de-allocation of multiple communication channels for bandwidth on-demand
    • 针对带宽需求的多个通信信道的动态分配和去分配
    • US07027415B1
    • 2006-04-11
    • US09813200
    • 2001-03-20
    • Douglas C. DahlbyStephen D. FleischerMitchell D. TrottChristopher R. Uhlik
    • Douglas C. DahlbyStephen D. FleischerMitchell D. TrottChristopher R. Uhlik
    • H04B7/212
    • H04L41/0896H04W28/20
    • A method and apparatus are provided that dynamically allocates communication streams to provide flexible bandwidth to terminals of a communications system. In one embodiment the invention includes identifying a first terminal and a second terminal to each other for the communication of traffic over at least one of multiple streams; and dynamically allocating and de-allocating further streams based on the traffic to be carried and the traffic capacity of opened streams between the first and the second terminals. The invention may further include comparing traffic to be carried between the first terminal and the second terminal to the capacity of any open streams between the first terminal and the second terminal and allocating or de-allocating at least one stream based on the comparison. Alternatively, the invention may include comparing depths of transmit queues to the capacity of any open streams between the first terminal and the second terminal and allocating or de-allocating at least one stream based on the comparison.
    • 提供了一种方法和装置,其动态地分配通信流以向通信系统的终端提供灵活的带宽。 在一个实施例中,本发明包括将多个流中的至少一个流上的业务的通信彼此识别为第一终端和第二终端; 以及基于要携带的流量和在第一和第二终端之间的开放流的业务容量来动态地分配和去分配进一步的流。 本发明还可以包括将在第一终端和第二终端之间承载的流量与第一终端和第二终端之间的任何开放流的容量进行比较,并且基于该比较分配或解除分配至少一个流。 或者,本发明可以包括将发射队列的深度与第一终端和第二终端之间的任何开放流的容量进行比较,并且基于该比较分配或解除分配至少一个流。
    • 19. 发明授权
    • Event generation and camera cluster analysis of multiple video streams in a pipeline architecture
    • 在流水线架构中的多个视频流的事件生成和相机聚类分析
    • US07667732B1
    • 2010-02-23
    • US10965676
    • 2004-10-13
    • J. Andrew FreemanRobert P. ValloneStephen G. RussellChristian PappasStephen D. FleischerGordon T. Haupt
    • J. Andrew FreemanRobert P. ValloneStephen G. RussellChristian PappasStephen D. FleischerGordon T. Haupt
    • H04N7/18
    • 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。
    • 20. 发明授权
    • Feed-customized processing of multiple video streams in a pipeline architecture
    • 在流水线架构中对多个视频流进行自定义处理
    • US07663661B2
    • 2010-02-16
    • US10964977
    • 2004-10-13
    • Robert P. ValloneJ. Andrew FreemanStephen G. RussellThomas W. KirkmanStephen D. FleischerGordon T. Haupt
    • Robert P. ValloneJ. Andrew FreemanStephen G. RussellThomas W. KirkmanStephen D. FleischerGordon T. Haupt
    • H04N7/18
    • H04N7/181G06K9/00711G06K9/00986
    • 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。