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    FEATURE-BASED VIDEO ANNOTATION
    2.
    发明申请
    FEATURE-BASED VIDEO ANNOTATION 审中-公开

    公开(公告)号：US20200082173A1

    公开(公告)日：2020-03-12

    申请号：US16687118

    申请日：2019-11-18

    申请人： Google LLC

    发明人： Balakrishnan Varadarajan ,  George Dan Toderici ,  Apostol Natsev ,  Nitin Khandelwal ,  Sudheendra Vijayanarasimhan ,  Weilong Yang ,  Sanketh Shetty

    IPC分类号： G06K9/00 ,  H04N5/265 ,  G06K9/62 ,  G06K9/52 ,  G06F16/78 ,  G06F16/783

    摘要： A system and methodology provide for annotating videos with entities and associated probabilities of existence of the entities within video frames. A computer-implemented method identifies an entity from a plurality of entities identifying characteristics of video items. The computer-implemented method selects a set of features correlated with the entity based on a value of a feature of a plurality of features, determines a classifier for the entity using the set of features, and determines an aggregation calibration function for the entity based on the set of features. The computer-implemented method selects a video frame from a video item, where the video frame having associated features, and determines a probability of existence of the entity based on the associated features using the classifier and the aggregation calibration function.

    FEATURE-BASED VIDEO ANNOTATION
    3.
    发明申请
    FEATURE-BASED VIDEO ANNOTATION 有权

    公开(公告)号：US20220207873A1

    公开(公告)日：2022-06-30

    申请号：US17548859

    申请日：2021-12-13

    申请人： Google LLC

    发明人： Balakrishnan Varadarajan ,  George Dan Toderici ,  Apostol Natsev ,  Nitin Khandelwal ,  Sudheendra Vijayanarasimhan ,  Weilong Yang ,  Sanketh Shetty

    IPC分类号： G06V20/40 ,  G06F16/783 ,  G06F16/78 ,  G06V10/42 ,  G06K9/62 ,  H04N5/265

    摘要： A system and methodology provide for annotating videos with entities and associated probabilities of existence of the entities within video frames. A computer-implemented method identifies an entity from a plurality of entities identifying characteristics of video items. The computer-implemented method selects a set of features correlated with the entity based on a value of a feature of a plurality of features, determines a classifier for the entity using the set of features, and determines an aggregation calibration function for the entity based on the set of features. The computer-implemented method selects a video frame from a video item, where the video frame having associated features, and determines a probability of existence of the entity based on the associated features using the classifier and the aggregation calibration function.

    LOW LATENCY AUTOMATED IDENTIFICATION OF AUTOMATED ASSISTANT FUNCTION FAILURE
    4.
    发明申请
    LOW LATENCY AUTOMATED IDENTIFICATION OF AUTOMATED ASSISTANT FUNCTION FAILURE 有权

    公开(公告)号：US20220165259A1

    公开(公告)日：2022-05-26

    申请号：US17102408

    申请日：2020-11-23

    申请人： Google LLC

    发明人： Aakash Goel ,  Tayfun Elmas ,  Keith Brady ,  Akshay Jaggi ,  Ester Lopez Berga ,  Arne Vansteenkiste ,  Robin Martinjak ,  Mahesh Palekar ,  Krish Narang ,  Nitin Khandelwal ,  Pravir Gupta

    IPC分类号： G10L15/22 ,  G10L15/08 ,  G08B21/18

    摘要： Implementations include identifying, from a database of entries reflecting past automated assistant commands submitted within a threshold amount of time relative to a current time, particular entries that each reflect corresponding features of a corresponding user submission of a particular command. Further, those implementations include determining that the particular command is a golden command, for a particular automated assistant function, responsive to determining that: at least a threshold percentage of the user submissions of the particular command triggered the particular automated assistant function, and a quantity of the user submission of the particular command satisfies a threshold quantity. Those implementations further include, responsive to determining that the particular command is currently the golden command: processing a stream of current occurrences of submissions of the particular command to determine whether the particular automated assistant function is triggered; and when the processing indicates that a threshold quantity and/or percentage of the current occurrences fails to satisfy a potential problem threshold: causing one or more electronic alerts to be transmitted.

    COLLABORATIVE RANKING OF INTERPRETATIONS OF SPOKEN UTTERANCES
    6.
    发明申请
    COLLABORATIVE RANKING OF INTERPRETATIONS OF SPOKEN UTTERANCES 有权

    公开(公告)号：US20230062201A1

    公开(公告)日：2023-03-02

    申请号：US17537104

    申请日：2021-11-29

    申请人： GOOGLE LLC

    发明人： Akshay Goel ,  Nitin Khandelwal ,  Richard Park ,  Brian Chatham ,  Jonathan Eccles ,  David Sanchez ,  Dmytro Lapchuk

    IPC分类号： G10L15/32 ,  G10L15/18 ,  G10L15/30 ,  G10L15/22

    摘要： Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation. In additional or alternative implementations, an independent third-party agent can obtain the first-party interpretation(s) and the third-party interpretation(s), select the given interpretation, and then transmit the given interpretation to the automated assistant and/or the given third-party agent.

    METHOD(S) AND SYSTEM(S) FOR UTILIZING AN INDEPENDENT SERVER TO FACILITATE SECURE EXCHANGE OF DATA
    9.
    发明公开
    METHOD(S) AND SYSTEM(S) FOR UTILIZING AN INDEPENDENT SERVER TO FACILITATE SECURE EXCHANGE OF DATA 审中-公开

    公开(公告)号：US20240031339A1

    公开(公告)日：2024-01-25

    申请号：US17893728

    申请日：2022-08-23

    申请人： GOOGLE LLC

    发明人： Akshay Goel ,  Jonathan Eccles ,  Nitin Khandelwal ,  Sarvjeet Singh ,  David Sanchez ,  Ashwin Ram

    IPC分类号： H04L9/40

    CPC分类号： H04L63/04 ,  H04L63/0853

    摘要： Implementations described herein utilize an independent server for facilitating secure exchange of data between multiple disparate parties. The independent server receives client data, via an automated assistant application executing at least in part at a client device, that is to be transmitted to a given third-party application. The independent server processes the client data, using a first encoder-decoder model, to generate opaque client data, and transmits the opaque client data to the given third-party application and without transmitting any of the client data. Further, the independent server receives response data, via the given third-party application, that is generated based on the opaque client data and that is to be transmitted back to the client device. The independent server processes the response data, using a second encoder-decoder model, to generate opaque response data, and transmits the opaque response data to the client device and without transmitting any of the response data.