-
公开(公告)号：US20210295541A1
公开(公告)日：2021-09-23
申请号：US17339390
申请日：2021-06-04
Applicant: Cisco Technology, Inc.
Inventor： Hugo Mike Latapie , Franck Bachet , Enzo Fenoglio , Sawsen Rezig , Carlos M. Pignataro , Guillaume Sauvage De Saint Marc
Abstract: Systems, methods, and computer-readable for multi-spatial scale object detection include generating one or more object trackers for tracking at least one object detected from on one or more images. One or more blobs are generated for the at least one object based on tracking motion associated with the at least one object. One or more tracklets are generated for the at least one object based on associating the one or more object trackers and the one or more blobs, the one or more tracklets including one or more scales of object tracking data for the at least one object. One or more uncertainty metrics are generated using the one or more object trackers and an embedding of the one or more tracklets. A training module for detecting and tracking the at least one object using the embedding and the one or more uncertainty metrics is generated using deep learning techniques.
-
42.发明授权公开(公告)号：US11044199B2
公开(公告)日：2021-06-22
申请号：US16003937
申请日：2018-06-08
Applicant: Cisco Technology, Inc.
Inventor： Pierre Pfister , W. Mark Townsley , Enzo Fenoglio , Hugo Latapie , Yoann Desmouceaux
IPC: H04L12/803 , H04L12/26 , G06N3/08 , G06N3/04 , H04L29/08
Abstract: In one embodiment, a traffic analysis service obtains traffic characteristics of network traffic associated with a device in a network. The traffic analysis service uses a machine learning model to infer resource usage by the device based on the obtained traffic characteristics of the network traffic associated with the device. The traffic analysis service controls traffic flows in the network based on the inferred resource usage by the device.
-
公开(公告)号：US11019308B2
公开(公告)日：2021-05-25
申请号：US16678729
申请日：2019-11-08
Applicant: Cisco Technology, Inc.
Inventor： Paul Bright-Thomas , Nathan Buckles , Keith Griffin , Eric Chen , Manikandan Kesavan , Plamen Nedeltchev , Hugo Mike Latapie , Enzo Fenoglio
Abstract: Systems and methods are disclosed for anticipating a video switch to accommodate a new speaker in a video conference comprising a real time video stream captured by a camera local to a first videoconference endpoint is analyzed according to at least one speaker anticipation model. The speaker anticipation model predicts that a new speaker is about to speak. Video of the anticipated new speaker is sent to the conferencing server in response to a request for the video on the anticipated new speaker from the conferencing server. Video of the anticipated new speaker is distributed to at least a second videoconference endpoint.
-
公开(公告)号：US20210042532A1
公开(公告)日：2021-02-11
申请号：US16708648
申请日：2019-12-10
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , David Delano Ward , Guillaume Sauvage De Saint Marc , Carole Gridley
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：US20200314641A1
公开(公告)日：2020-10-01
申请号：US16363268
申请日：2019-03-25
Applicant: Cisco Technology, Inc.
Inventor： Claudius Samuel Tewari , Jagdish Girimaji , Matthew A. Silverman , Jie C. Jiang , Hugo M. Latapie , Enzo Fenoglio
Abstract: In one embodiment, a device obtains radio frequency (RF) characteristic data for a wireless client. The device inputs the RF characteristic data for the wireless client to a deep learning-based encoder. The device learns a latent space representation of the RF characteristic data from the encoder. The device uses the learned latent space representation as a unique signature to identify the wireless client in a wireless network.
-
Patent Agency Ranking
公开(公告)号：US20200068041A1
公开(公告)日：2020-02-27
申请号：US16666518
申请日：2019-10-29
Applicant: Cisco Technology, Inc.
Inventor： Hugo Latapie , Enzo Fenoglio , Plamen Nedeltchev , Manikandan Kesavan , Joseph Friel
Abstract: In one embodiment, a device in a network monitors a plurality of traffic flows in the network. The device extracts a plurality of features from the monitored plurality of traffic flows. The device generates a context model by using deep learning and reinforcement learning on the plurality of features extracted from the monitored traffic flows. The device applies the context model to a particular traffic flow associated with a client, to determine a context for the particular traffic flow. The device personalizes data sent to the client from a remote source based on the determined context.
-
47.发明授权公开(公告)号：US10511446B2
公开(公告)日：2019-12-17
申请号：US15713463
申请日：2017-09-22
Applicant: Cisco Technology, Inc.
Inventor： Ronnie Dan , Hugo Mike Latapie , Andre Jean-Marie Surcouf , Enzo Fenoglio , Thierry Gruszka
Abstract: In one illustrative example, a network cybersecurity procedure may be employed with use of at least one unmanned aerial vehicle (UAV), where the UAV includes an intermediary pairing device for providing a temporary connection between a first network (e.g. a private LAN) and a second network (e.g. the Internet). The network cybersecurity procedure may involve deploying the UAV in proximity to the first network, such that the intermediary pairing device pairs with a first pairing device via a first transceiver and with a second pairing device via a second transceiver. A temporary connection is established between the first network connected via the first pairing device and the second network connected via the second pairing device. Data is communicated between a first device (e.g. IoT device) or server of the first network and a second device or server of the second network over the temporary connection. During this time, the intermediary pairing device executes a cybersecurity service function. Once completed, the UAV may be withdrawn out of proximity of the first network. One or more features of the cybersecurity service function may be updated and the UAV redeployed. Multimodal data fusion techniques with use of a plurality of network and device sensors may be employed for device verification and/or anomaly detection.
-
公开(公告)号：US10484410B2
公开(公告)日：2019-11-19
申请号：US15653689
申请日：2017-07-19
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , Jérôme Tollet , Syed Muhammad Mohsin Kazmi , Hugo M. Latapie
Abstract: Presented herein are techniques for detecting anomalies in micro-service communications that are indicative of security issues/problems for the application. More specifically, a computing device receives a plurality of micro-service communication records each associated with traffic sent between pairs of executables (nodes) that are related to a micro-services application. Each of the micro-service communication records includes a time series entry and an associated trace sequence identifier and each of the micro-service communication records are generated during a time period. The computing device analyzes the plurality of micro-service communications to detect possible anomalous communication patterns associated with the micro-services application during the time period.
-
公开(公告)号：US10477148B2
公开(公告)日：2019-11-12
申请号：US15646470
申请日：2017-07-11
Applicant: Cisco Technology, Inc.
Inventor： Paul Bright-Thomas , Nathan Buckles , Keith Griffin , Eric Chen , Manikandan Kesavan , Plamen Nedeltchev , Hugo Mike Latapie , Enzo Fenoglio
Abstract: Systems and methods are disclosed for anticipating a video switch to accommodate a new speaker in a video conference comprising a real time video stream captured by a camera local to a first videoconference endpoint is analyzed according to at least one speaker anticipation model. The speaker anticipation model predicts that a new speaker is about to speak. Video of the anticipated new speaker is sent to the conferencing server in response to a request for the video on the anticipated new speaker from the conferencing server. Video of the anticipated new speaker is distributed to at least a second videoconference endpoint.
-
公开(公告)号：US20190325060A1
公开(公告)日：2019-10-24
申请号：US15960957
申请日：2018-04-24
Applicant: Cisco Technology, Inc.
Inventor： Enzo Fenoglio , Hugo Latapie , Angelo Fienga
Abstract: In one embodiment, a service in a network performs machine learning-based clustering of sensor data from a plurality of sensors in the network, to form sensor data clusters. The service maps the data clusters to symbolic clusters using a geometric conceptual space. The service infers a domain specific language from the symbolic clusters and from a domain specific ontology. The service performs, based on a query structured using the domain specific language, a lookup using the domain specific ontology to form a query response. The service sends the query response that comprises a result of the performed lookup via the network.
-
-
-
-
-
-
-
-
-
Search Results
77
records
(took 0.026 seconds)
