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    Automatically filtering out objects based on user preferences
    11.
    发明授权
    Automatically filtering out objects based on user preferences 有权

    公开(公告)号：US11423262B2

    公开(公告)日：2022-08-23

    申请号：US16522711

    申请日：2019-07-26

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Debayan Deb ,  Srimat Chakradhar

    IPC: G06K9/62 ,  G06N20/10 ,  G06T7/00

    Abstract: A method is provided for classifying objects. The method detects objects in one or more images. The method tags each object with multiple features. Each feature describes a specific object attribute and has a range of values to assist with a determination of an overall quality of the one or more images. The method specifies a set of training examples by classifying the overall quality of at least some of the objects as being of an acceptable quality or an unacceptable quality, based on a user's domain knowledge about an application program that takes the objects as inputs. The method constructs a plurality of first-level classifiers using the set of training examples. The method constructs a second-level classifier from outputs of the first-level automatic classifiers. The second-level classifier is for providing a classification for at least some of the objects of either the acceptable quality or the unacceptable quality.

    Content-level anomaly detector for systems with limited memory
    13.
    发明授权
    Content-level anomaly detector for systems with limited memory 有权

    公开(公告)号：US10740212B2

    公开(公告)日：2020-08-11

    申请号：US15970398

    申请日：2018-05-03

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Hui Zhang ,  Erik Kruus

    IPC: G06F11/00 ,  G06F11/34 ,  G06F11/36 ,  G06F11/30 ,  G06F11/07

    Abstract: Systems and methods for implementing content-level anomaly detection for devices having limited memory are provided. At least one log content model is generated based on training log content of training logs obtained from one or more sources associated with the computer system. The at least one log content model is transformed into at least one modified log content model to limit memory usage. Anomaly detection is performed for testing log content of testing logs obtained from one or more sources associated with the computer system based on the at least one modified log content model. In response to the anomaly detection identifying one or more anomalies associated with the testing log content, the one or more anomalies are output.

    Structure-level anomaly detection for unstructured logs
    14.
    发明授权
    Structure-level anomaly detection for unstructured logs 有权

    公开(公告)号：US10740170B2

    公开(公告)日：2020-08-11

    申请号：US15830579

    申请日：2017-12-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Hui Zhang ,  Guofei Jiang

    IPC: G06F11/07 ,  G06F11/30 ,  G06F11/34 ,  G06F16/22 ,  G06F16/28 ,  G06F40/205

    Abstract: A computer-implemented method, computer program product, and computer processing system are provided. The method includes preprocessing, by a processor, a set of heterogeneous logs by splitting each of the logs into tokens to obtain preprocessed logs. Each of the logs in the set is associated with a timestamp and textual content in one or more fields. The method further includes generating, by the processor, a set of regular expressions from the preprocessed logs. The method also includes performing, by the processor, an unsupervised parsing operation by applying the regular expressions to the preprocessed logs to obtain a set of parsed logs and a set of unparsed logs, if any. The method additionally includes storing, by the processor, the set of parsed logs in a log analytics database and the set of unparsed logs in a debugging database.

    Automated Anomaly Detection Service on Heterogeneous Log Streams
    15.
    发明申请
    Automated Anomaly Detection Service on Heterogeneous Log Streams 有权

    公开(公告)号：US20170139806A1

    公开(公告)日：2017-05-18

    申请号：US15352546

    申请日：2016-11-15

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jianwu Xu ,  Biplob Debnath ,  Hui Zhang ,  Guofei Jiang ,  Nipun Arora

    IPC: G06F11/36

    CPC classification number: G06F11/3612 ,  G06F11/0706 ,  G06F11/0766 ,  G06F11/3636

    Abstract: Systems and methods are disclosed for handling log data from one or more applications, sensors or instruments by receiving heterogeneous logs from arbitrary/unknown systems or applications; generating regular expression patterns from the heterogeneous log sources using machine learning and extracting a log pattern therefrom; generating models and profiles from training logs based on different conditions and updating a global model database storing all models generated over time; tokenizing raw log messages from one or more applications, sensors or instruments running a production system; transforming incoming tokenized streams are into data-objects for anomaly detection and forwarding of log messages to various anomaly detectors; and generating an anomaly alert from the one or more applications, sensors or instruments running a production system.

    ANALYTICS-AWARE VIDEO COMPRESSION FOR TELEOPERATED VEHICLE CONTROL
    17.
    发明公开
    ANALYTICS-AWARE VIDEO COMPRESSION FOR TELEOPERATED VEHICLE CONTROL 审中-公开

    公开(公告)号：US20240275983A1

    公开(公告)日：2024-08-15

    申请号：US18439341

    申请日：2024-02-12

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Christoph Reich ,  Deep Patel ,  Srimat Chakradhar

    IPC: H04N19/146 ,  G06V20/40 ,  G06V20/58 ,  H04N19/124 ,  H04N19/154

    CPC classification number: H04N19/146 ,  G06V20/49 ,  G06V20/58 ,  H04N19/124 ,  H04N19/154

    Abstract: Systems and methods are provided for optimizing video compression for remote vehicle control, including capturing, capturing video and sensor data from a vehicle using a plurality of sensors and high-resolution cameras, analyzing the captured video to identify critical regions within frames of the video using an attention-based module. Current network bandwidth is assessed and future bandwidth availability is predicted. Video compression parameters are predicted based on an analysis of the video and an assessment of the current network bandwidth using a control network, and the video is compressed based on the predicted parameters with an adaptive video compression module. The compressed video and sensor data is transmitted to a remote-control center, and received video and sensor data is decoded at the remote-control center. The vehicle is autonomously or remotely controlled from the remote-control center based on the decoded video and sensor data.

    Time-series based analytics using video streams
    20.
    发明授权
    Time-series based analytics using video streams 有权

    公开(公告)号：US11574461B2

    公开(公告)日：2023-02-07

    申请号：US17197403

    申请日：2021-03-10

    Applicant: NEC Laboratories America, Inc.

    Inventor： Biplob Debnath ,  Srimat Chakradhar ,  M. Ashraf Siddiquee

    IPC: G06V10/74 ,  G06F16/783 ,  G06F16/78 ,  G06V20/40

    Abstract: Methods and systems for detecting and predicting anomalies include processing frames of a video stream to determine values of a feature corresponding to each frame. A feature time series is generated that corresponds to values of the identified feature over time. A matrix profile is generated that identifies similarities of sub-sequences of the time series to other sub-sequences of the feature time series. An anomaly is detected by determining that a value of the matrix profile exceeds a threshold value. An automatic action is performed responsive to the detected anomaly.

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