公开(公告)号：US20220351521A1

公开(公告)日：2022-11-03

申请号：US17860962

申请日：2022-07-08

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Enzo FENOGLIO ,  David Delano WARD ,  Guillaume Sauvage DE SAINT MARC ,  Carole GRIDLEY

IPC: G06V20/52 ,  H04N7/18 ,  G06T7/11 ,  G06T7/20 ,  G08B5/22 ,  G06Q30/06 ,  G06V20/40 ,  G06V40/10

Abstract: In one embodiment, a video analysis service receives video data captured by one or more cameras at a particular location. The service applies a neural network-based model to portions of the video data, to identify objects within the video data. The service maps outputs of the neural network-based model to symbols using a conceptual space. The outputs of the model comprise the identified objects. The service applies a symbolic reasoning engine to the symbols, to generate an alert. The service sends the alert to a user interface in conjunction with the video data.

公开(公告)号：US20180018393A1

公开(公告)日：2018-01-18

申请号：US15212097

申请日：2016-07-15

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Enzo FENOGLIO ,  Andre SURCOUF ,  Joseph T. FRIEL ,  Pete RAI

IPC: G06F17/30 ,  H04L12/24

CPC classification number: G06F16/367 ,  G06F16/3344 ,  G06F16/3346 ,  G06F16/9535 ,  H04L41/12 ,  H04L41/145 ,  H04L41/16

Abstract: A method comprises collecting, by a computing device located at an edge of a network, data items corresponding to information transmitted by endpoints using the network, generating, by the computing device, a probabilistic hierarchy using the data items, generating, by the computing device using the probabilistic hierarchy and natural language data, a similarity metric, generating, by the computing device using the probabilistic hierarchy, the natural language data, and the similarity metric, an ontology, detecting, by the computing device using the ontology, an anomaly, and in response to detecting the anomaly, sending a notification.

公开(公告)号：US20250086971A1

公开(公告)日：2025-03-13

申请号：US18243819

申请日：2023-09-08

Applicant: Cisco Technology, Inc.

Inventor： Hugo Latapie ,  Enzo FENOGLIO ,  Viktoriya V. TSUKANOVA ,  Ramana Rao V. R. KOMPELLA ,  Joost BOTTENBLEY ,  Chiara TROIANI ,  Ali PAYANI ,  Johanna Wylie Lanier HARDY ,  Jayanth SRINIVASA

IPC: G06V20/40 ,  G06V10/774

Abstract: In one implementation, a device receives a request to generate a set of video clips that depict a specified classification label. The device represents each of one or more objects depicted in a particular video clip over time as a set of timeseries of key points associated with that object. The device makes a determination as to whether the particular video clip depicts the specified classification label by analyzing the set of timeseries of key points associated with the particular video clip and in accordance with one or more constraint parameters. The device labels, based on the determination, the particular video clip with the specified classification label for inclusion in the set of video clips that depict the specified classification label.

公开(公告)号：US20160283859A1

公开(公告)日：2016-09-29

申请号：US14667701

申请日：2015-03-25

Applicant: Cisco Technology, Inc.

Inventor： Enzo FENOGLIO ,  Andre SURCOUF ,  Joseph FRIEL ,  Hugo LATAPIE ,  Altan STALKER ,  Michael COSTELLO

IPC: G06N99/00 ,  G06N7/00 ,  H04L12/26

CPC classification number: G06N20/00 ,  G06N7/00 ,  H04L41/16 ,  H04L43/026 ,  H04L43/04 ,  H04L43/50 ,  H04L47/2441

Abstract: In one embodiment, a method for video traffic flow behavioral classification is implemented on a computing device and includes: receiving coarse flow data from a network router, where the coarse flow data includes summary statistics for data flows on the router, classifying the summary statistics to detect video flows from among the data flows, requesting fine flow data from the network router for each of the detected video flows, where the fine flow data includes information on a per packet basis, receiving the fine flow data from the network router, and classifying each of the detected video flows per video service provider in accordance with the information.

Abstract translation: 在一个实施例中，一种用于视频业务流行为分类的方法在计算设备上实现，包括：从网络路由器接收粗流数据，其中粗流数据包括路由器上的数据流的汇总统计，将汇总统计分类为 从数据流中检测视频流，从网络路由器请求每个检测到的视频流的精细流数据，其中精细流数据包括基于每个分组的信息，从网络路由器接收精细流数据，以及分类 每个视频服务提供商根据该信息检测每个视频流。

公开(公告)号：US20150074679A1

公开(公告)日：2015-03-12

申请号：US14023686

申请日：2013-09-11

Applicant: Cisco Technology Inc.

Inventor： Enzo FENOGLIO ,  Andre SURCOUF ,  Fabien ANDRIEUX

IPC: G06F9/50

CPC classification number: H04L67/1008 ,  G06F9/505 ,  G06F2209/5019

Abstract: In one embodiment, a method is described. The method includes: monitoring workloads of a plurality of application classes, each of the application classes describing services provided by one or more applications in a multi-tiered system and comprising a plurality of instantiated execution resources; estimating, for each of the application classes, a number of execution resources able to handle the monitored workloads, to simultaneously maintain a multi-tiered system response time below a determined value and minimize a cost per execution resource; and dynamically adjusting the plurality of instantiated execution resources for each of the application classes based on the estimated number of execution resources.

Abstract translation: 在一个实施例中，描述了一种方法。 该方法包括：监视多个应用类的工作负荷，每个应用类描述由多层系统中的一个或多个应用提供的服务并且包括多个实例化的执行资源; 针对每个应用类别估计能够处理所监视的工作负载的多个执行资源，同时将多层系统响应时间维持在低于确定的值并最小化每个执行资源的成本; 并且基于所估计的执行资源数量动态地调整针对每个应用类的多个实例执行资源。