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    Classifying an instance using machine learning
    1.
    发明授权
    Classifying an instance using machine learning 有权

    公开(公告)号：US11881051B2

    公开(公告)日：2024-01-23

    申请号：US16487583

    申请日：2017-02-24

    申请人： TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

    发明人： Tommy Arngren ,  Markus Andersson ,  Rickard Cöster ,  Tomas Frankkila

    IPC分类号： G06V40/16 ,  G06N20/10 ,  G06F18/2411 ,  G06V30/24 ,  G06V10/94

    CPC分类号： G06V40/172 ,  G06F18/2411 ,  G06N20/10 ,  G06V10/95 ,  G06V30/248 ,  G06V30/2528

    摘要： A communications device (100) for classifying an instance (110) using Machine Learning (ML) is provided. The communications device is operative to acquire a feature vector representing the instance, classify the instance using a local first ML model, calculate a confidence level, and, if the calculated confidence level is less than a threshold confidence level, acquire information identifying one or more other communications devices, and transmit a classification request message comprising the feature vector to the one or more other communications devices. The one or more other communications devices are selected based on at least one of: an identity of a user of the communications device, a contact list of the user, a type of data comprised in the feature vector, an origin of the feature vector, the classification of the instance using the local first ML model, a location of the communications device, a respective location of the one or more other communications devices, a location associated with the instance, and one or more classified instances which are related to the instance represented by the feature vector.

    Adaptive content classification of a video content item
    2.
    发明授权
    Adaptive content classification of a video content item 有权

    公开(公告)号：US11995888B2

    公开(公告)日：2024-05-28

    申请号：US17444344

    申请日：2021-08-03

    申请人： Snap Inc.

    发明人： Richard Rabbat ,  Ernestine Fu

    IPC分类号： G06V20/40 ,  G06F18/40 ,  G06T11/00 ,  G06V30/24

    CPC分类号： G06V20/40 ,  G06F18/41 ,  G06T11/00 ,  G06V20/49 ,  G06V30/248 ,  G06V30/2528

    摘要： In a method for performing adaptive content classification of a video content item, frames of a video content item are analyzed at a sampling rate for a type of content, wherein the sampling rate dictates a frequency at which frames of the video content item are analyzed. Responsive to identifying content within at least one frame indicative of the type of content, the sampling rate of the frames is increased. Responsive to not identifying content within at least one frame indicative of the type of content, the sampling rate of the frames is decreased. It is determined whether the video content item includes the type of content based on the analyzing the frames.

    LANGUAGE-AGNOSTIC OCR EXTRACTION
    5.
    发明公开
    LANGUAGE-AGNOSTIC OCR EXTRACTION 审中-公开

    公开(公告)号：US20240177513A1

    公开(公告)日：2024-05-30

    申请号：US18071371

    申请日：2022-11-29

    申请人： Microsoft Technology Licensing, LLC

    发明人： Osaid Rehman Nasir ,  Bharat Kumar Jain ,  Smitkumar Narotambhai Marvaniya

    IPC分类号： G06V30/24 ,  G06F40/40 ,  G06V30/14 ,  G06V30/19

    CPC分类号： G06V30/2528 ,  G06F40/40 ,  G06V30/1448 ,  G06V30/19147 ,  G06V30/274

    摘要： Technologies for language agnostic OCR extraction include identifying a word region of an image using optical character recognition, applying a language agnostic machine learning model to the word region, where the language agnostic machine learning model is trained on training data including a set of image-text pairs and a set of multilingual text translation pairs, receiving, from the language agnostic machine learning model, a word region embedding that is associated with the word region, searching a multilingual index for a text embedding that matches the word region embedding, receiving, from the multilingual index, text associated with the text embedding; and outputting at least one of the text or the text embedding to at least one downstream process, application, system, component, or network.

    CLASSIFYING AN INSTANCE USING MACHINE LEARNING
    8.
    发明公开
    CLASSIFYING AN INSTANCE USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20240177522A1

    公开(公告)日：2024-05-30

    申请号：US18532136

    申请日：2023-12-07

    申请人： Telefonaktiebolaget LM Ericsson (publ)

    发明人： Tommy ARNGREN ,  Markus ANDERSSON ,  Rickard CÖSTER ,  Tomas FRANKKILA

    IPC分类号： G06V40/16 ,  G06F18/2411 ,  G06N20/10 ,  G06V10/94 ,  G06V30/24

    CPC分类号： G06V40/172 ,  G06F18/2411 ,  G06N20/10 ,  G06V10/95 ,  G06V30/248 ,  G06V30/2528

    摘要： A selection server for selecting one or more other communications devices for classifying an instance using Machine Learning, ML, is provided. The selection server is operative to receive, from a communications device for classifying an instance using ML, a selection request message for selecting one or more other communications devices for classifying an instance using ML, the selection request message comprising information pertaining to at least one of: an identity of a user of the communications device, a contact list of the user, a type of data comprised in a feature vector representing the instance, an origin of the feature vector, a classification of the instance using a local first ML model of the communications device, a location of the communications device, a location associated with the instance, and one or more classified instances which are related to the instance represented by the feature vector.