DYNAMICALLY ASSIGNING MULTI-MODALITY CIRCUMSTANTIAL DATA TO ASSISTANT ACTION REQUESTS FOR CORRELATING WITH SUBSEQUENT REQUESTS

    公开(公告)号:US20200380974A1

    公开(公告)日:2020-12-03

    申请号:US16613686

    申请日:2019-05-31

    Applicant: Google LLC

    Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

    Dynamically assigning multi-modality circumstantial data to assistant action requests for correlating with subsequent requests

    公开(公告)号:US11200898B2

    公开(公告)日:2021-12-14

    申请号:US16613686

    申请日:2019-05-31

    Applicant: Google LLC

    Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

    PARTITIONING VIDEOS
    7.
    发明申请
    PARTITIONING VIDEOS 审中-公开

    公开(公告)号:US20190147105A1

    公开(公告)日:2019-05-16

    申请号:US15813978

    申请日:2017-11-15

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for partitioning videos. In one aspect, a method includes obtaining a partition of a video into one or more shots. Features are generated for each shot, including visual features and audio features. The generated features for each shot are provided as input to a partitioning neural network that is configured to process the generated features to generate a partitioning neural network output. The partition of the video into one or more chapters is determined based on the partitioning neural network output, where a chapter is a sequence of consecutive shots that are determined to be taken at one or more locations that are semantically related.

    Dynamically assigning multi-modality circumstantial data to assistant action requests for correlating with subsequent requests

    公开(公告)号:US11557295B2

    公开(公告)日:2023-01-17

    申请号:US17548972

    申请日:2021-12-13

    Applicant: GOOGLE LLC

    Abstract: Implementations set forth herein relate to an automated assistant that uses circumstantial condition data, generated based on circumstantial conditions of an input, to determine whether the input should affect an action been initialized by a particular user. The automated assistant can allow each user to manipulate their respective ongoing action without necessitating interruptions for soliciting explicit user authentication. For example, when an individual in a group of persons interacts with the automated assistant to initialize or affect a particular ongoing action, the automated assistant can generate data that correlates that individual to the particular ongoing action. The data can be generated using a variety of different input modalities, which can be dynamically selected based on changing circumstances of the individual. Therefore, different sets of input modalities can be processed each time a user provides an input for modifying an ongoing action and/or initializing another action.

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