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公开(公告)号：US11483170B1
公开(公告)日：2022-10-25
申请号：US16730484
申请日：2019-12-30
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Daniel Keysers , Thomas Deselaers
Abstract: Systems and methods for video conference content auto-retrieval and focus based on learned relevance is provided. In accordance with the systems and methods, audio streams and video streams from client devices participating in a video conference are received. Based on the audio streams, a subject being discussed during the video conference at a point in time is determined. A video stream that is most relevant to the subject being discussed during the video conference at the point in time is determined from the video streams. The determined video stream is provided to the client devices for presentation on the client devices while the subject is being discussed during the video conference.
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公开(公告)号：US20190342282A1
公开(公告)日：2019-11-07
申请号：US16477062
申请日：2017-01-20
Applicant: Google LLC
Inventor： Victor Carbune , Daniel Keysers , Thomas Deselaers
IPC: H04L29/06
Abstract: An example method includes establishing a single-user login session associated with a first user-account such that the single-user login session has read and/or write access to first user data associated with the first user-account. The method further includes accepting, within the single-user login session, a further login associated with a second user-account to convert the single-user login session to a multi-user login session having read and/or write access to second user data associated with the second user-account in addition to having read and/or write access to the first user data. Computer readable media and computing devices related to the example method are disclosed herein as well.
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公开(公告)号：US10192551B2
公开(公告)日：2019-01-29
申请号：US15252049
申请日：2016-08-30
Applicant: Google LLC
Inventor： Victor Carbune , Daniel Keysers , Thomas Deselaers
IPC: G10L15/26 , G10L15/00 , G10L21/00 , G10L15/18 , G06F17/27 , G10L15/22 , G06F17/30 , G10L15/06 , G10L15/16 , G06Q10/10 , G06F3/0482
Abstract: Methods, apparatus, and computer readable media related to receiving textual input of a user during a dialog between the user and an automated assistant (and optionally one or more additional users), and generating responsive reply content based on the textual input and based on user state information. The reply content is provided for inclusion in the dialog. In some implementations, the reply content is provided as a reply, by the automated assistant, to the user's textual input and may optionally be automatically incorporated in the dialog between the user and the automated assistant. In some implementations, the reply content is suggested by the automated assistant for inclusion in the dialog and is only included in the dialog in response to further user interface input.
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公开(公告)号：US20240153256A1
公开(公告)日：2024-05-09
申请号：US18051106
申请日：2022-10-31
Applicant: Google LLC
Inventor： Daniel Keysers , Xiaohua Zhai , Xiao Wang , Lucas Beyer , Basil Mustafa , Andreas Steiner , Alexander Kolesnikov
IPC: G06V10/778
CPC classification number: G06V10/778
Abstract: A method may include obtaining a pretrained image encoder and a training sample comprising a training image and a training text string corresponding to the training image. The method may also include initializing a text encoder in an untrained state, determining, using the pretrained image encoder and based on the training image, a first latent representation of the training image, and determining, using the text encoder and based on the training text string, a second latent representation of the training text string. The method may further include determining a loss value based on the first latent representation and the second latent representation, updating, based on the loss value, one or more parameters of the text encoder while holding fixed parameters of the pretrained image encoder, and outputting the text encoder in a trained state.
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公开(公告)号：US20240152249A1
公开(公告)日：2024-05-09
申请号：US18509766
申请日：2023-11-15
Applicant: GOOGLE LLC
Inventor： Victor CARBUNE , Daniel Keysers , Thomas Deselaers
IPC: G06F3/04817 , G06F3/0481 , G06F3/0482 , G06F9/451 , G06Q30/0601 , G06Q50/12 , G06V40/10
CPC classification number: G06F3/04817 , G06F3/0481 , G06F3/0482 , G06F9/451 , G06Q30/0601 , G06Q50/12 , G06V40/10
Abstract: Systems and methods enable a computing system to recognize a sequence of repeated actions and offer to automatically repeat any such recognized actions. An example method includes determining a current sequence of user actions is similar to previous sequence of user actions, determining whether the previous sequence is reproducible and, when reproducible, initiating display of a prompt that requests approval for completing the current sequence based on the previous sequence and, responsive to receiving an indication of approval, completing the previous sequence. Another example method included determining that a first current sequence of user interactions is complete and is not similar to any saved sequence of user interactions, saving the first current sequence as a previous sequence, identifying a second sequence as satisfying a similarity threshold with the previous sequence, and initiating display of a prompt that requests approval for saving the previous sequence as a shortcut.
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Patent Agency Ranking
公开(公告)号：US20220147227A1
公开(公告)日：2022-05-12
申请号：US17581390
申请日：2022-01-21
Applicant: GOOGLE LLC
Inventor： Victor Carbune , Daniel Keysers , Thomas Deselaers
IPC: G06F3/04817 , G06F3/0481 , G06F3/0482 , G06V40/10 , G06Q30/06 , G06Q50/12 , G06F9/451
Abstract: Systems and methods enable a computing system to recognize a sequence of repeated actions and offer to automatically repeat any such recognized actions. An example method includes determining a current sequence of user actions is similar to previous sequence of user actions, determining whether the previous sequence is reproducible and, when reproducible, initiating display of a prompt that requests approval for completing the current sequence based on the previous sequence and, responsive to receiving an indication of approval, completing the previous sequence. Another example method included determining that a first current sequence of user interactions is complete and is not similar to any saved sequence of user interactions, saving the first current sequence as a previous sequence, identifying a second sequence as satisfying a similarity threshold with the previous sequence, and initiating display of a prompt that requests approval for saving the previous sequence as a shortcut.
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公开(公告)号：US11188626B2
公开(公告)日：2021-11-30
申请号：US16477062
申请日：2017-01-20
Applicant: Google LLC
Inventor： Victor Carbune , Daniel Keysers , Thomas Deselaers
Abstract: An example method includes establishing a single-user login session associated with a first user-account such that the single-user login session has read and/or write access to first user data associated with the first user-account. The method further includes accepting, within the single-user login session, a further login associated with a second user-account to convert the single-user login session to a multi-user login session having read and/or write access to second user data associated with the second user-account in addition to having read and/or write access to the first user data. Computer readable media and computing devices related to the example method are disclosed herein as well.
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公开(公告)号：US10679614B2
公开(公告)日：2020-06-09
申请号：US16393785
申请日：2019-04-24
Applicant: GOOGLE LLC
Inventor： Pedro Gonnet Anders , Victor Carbune , Daniel Keysers , Thomas Deselaers , Sandro Feuz
Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected vocabulary level or other vocal characteristics of an input utterance provided to an automated assistant. The estimated vocabulary level or other vocal characteristics may be used to influence various aspects of a data processing pipeline employed by the automated assistant. In some implementations, one or more tolerance thresholds associated with, for example, grammatical tolerances or vocabulary tolerances, may be adjusted based on the estimated vocabulary level or vocal characteristics of the input utterance.
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公开(公告)号：US10650820B2
公开(公告)日：2020-05-12
申请号：US16258035
申请日：2019-01-25
Applicant: Google LLC
Inventor： Victor Carbune , Daniel Keysers , Thomas Deselaers
IPC: G10L15/26 , G10L15/22 , G06F16/33 , G06F16/9535 , G06Q10/10 , G10L15/06 , G10L15/16 , G10L15/18 , G06F3/0482
Abstract: Methods, apparatus, and computer readable media related to receiving textual input of a user during a dialog between the user and an automated assistant (and optionally one or more additional users), and generating responsive reply content based on the textual input and based on user state information. The reply content is provided for inclusion in the dialog. In some implementations, the reply content is provided as a reply, by the automated assistant, to the user's textual input and may optionally be automatically incorporated in the dialog between the user and the automated assistant. In some implementations, the reply content is suggested by the automated assistant for inclusion in the dialog and is only included in the dialog in response to further user interface input.
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公开(公告)号：US10573298B2
公开(公告)日：2020-02-25
申请号：US15954174
申请日：2018-04-16
Applicant: Google LLC
Inventor： Pedro Gonnet Anders , Victor Carbune , Daniel Keysers , Thomas Deselaers , Sandro Feuz
Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.
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